Publications
2024
G. Anselmi, Y. Vekaria, A. D’Souza, P. Callejo, A.M. Mandalari, and Z. Shafiq, “Watching TV with the Second-Party: A First Look at Automatic Content Recognition Tracking in Smart TVs“, Proceedings of the ACM Internet Measurement Conference (IMC), 2024.
T. Hu, D. Dubois, and D. Choffnes, “IoT Bricks Over v6: Understanding IPv6 Usage in Smart Homes“, Proceedings of the ACM Internet Measurement Conference (IMC), 2024.
O. Figueira, R. Trimananda, A. Markopoulou, and S. Jordan, “DiffAudit: Auditing Privacy Practices of Online Services for Children and Adolescents“, Proceedings of the ACM Internet Measurement Conference (IMC), 2024. Best Student Paper Award.
R. Tarafder Prapty, S. Jakkamsetti, and Gene Tsudik, “KESIC: Kerberos Extensions for Smart, IoT and CPS Devices“, to appear in the Proceedings of the IEEE Conference on Computer Communications and Networks (ICCCN), 2024.
S. Hwang, S. Jaarecki, Z. Karl, E. van Kempen, and G. Tsudik, “PIVA: Privacy-Preserving Identity Verification Methods for Accountless Users via Private List Intersection and Its Variants”, to appear in the Proceedings of the European Symposium on Research in Computer Security (ESORICS), 2024.
M. Conti, M. Duroyon, G. Orazi, and G. Tsudik, “Acoustic Side-Channel Attacks on a Computer Mouse“, In the Proceedings of the Detection of Intrusions and Malware & Vulnerability Assessment Conference (DIMVA), 2024.
P. De Vaere, F. Stöger, A. Perrig, and G. Tsudik, “The SA4P Framework: Sensing and Actuation as a Privilege”, In the Proceedings of the ACM Asia Conference on Computer and Communications Security (ASIA CCS), 2024.
H. Saleem, A. Ziashahabi, M. Naveed, and S. Avestimehr, “Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation,” Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2024.
D. Dubois, N. Holliday, K. Waddell, and D. Choffnes, “Fair or Fare? Understanding Automated Transcription Error Bias in Social Media and Videoconferencing Platforms”, Proceedings of the International AAAI Conference on Web and Social Media (ICWSM’24), 2024.
Y. Vekaria, R. Nithyanand, and Z. Shafiq, “The Inventory is Dark and Full of Misinformation: Understanding Ad Inventory Pooling in the Ad-Tech Supply Chain“, Proceedings of the IEEE Symposium on Security & Privacy (SP), 2024.
J. Zhao, A. Sharma, A. Elkordy, Y. Ezzeldin, S. Avestimehr, and S. Bagchi, “LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation“, Proceedings of the IEEE Symposium on Security and Privacy (SP), 2024.
Y. Liu, Z. Yao, M. Chen, A. Amiri Sani, S. Agarwal, and G. Tsudik, “ProvCam: A Camera Module with Self-Contained TCB for Producing Verifiable Videos”, Proceedings of the ACM Conference on Mobile Computing and Networking (MobiCom), 2024.
J. Zhang, Q. Wu, Y. Xu, C. Cao, Z. Du, and K. Psounis, “Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models”, Proceedings of the AAAI Conference on Artificial Intelligence, 2024.
X. Carpent, S. Hwang, and G. Tsudik, “Element Distinctness and Bounded Input Size in Private Set Intersection and Related Protocols”, Proceedings of the Applied Cryptography and Network Security (ACNS) Conference, 2024.
V. Safronov, A. M. Mandalari, D. Dubois, D. Choffnes, and H. Haddadi, “SunBlock: Cloudless Protection for IoT Systems” Proceedings of the Passive and Active Measurement Conference (PAM 2024), 2024.
H. Venugopalan, Z.A. Din, T. Carpenter, J. Lowe-Power, S.T King, and Z. Shafiq, “Aragorn: A Privacy-Enhancing System for Mobile Cameras“, to appear in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 2024.
2023
I. De Oliveira Nunes, S. Hwang, N. Rattanavipanon, S. Jakkamsetti, and G. Tsudik, “PARseL: Towards a Verified Root-of-Trust over seL4”, to appear in the Proceedings of the International Conference On Computer Aided Design (ICCAD), 2023.
E. Bakopoulou, M. Yang, J. Zhang, K. Psounis, and A. Markopoulou, “Location Leakage in Federated Signal Maps”, Proceedings of the IEEE Transactions on Mobile Computing, Oct. 2023.
U. Iqbal, P. N Bahrami, R. Trimananda, H. Cui, A. Gamero-Garrido, D. Dubois, D. Choffnes, A. Markopoulou, F. Roesner, and Z. Shafiq, “Tracking, Profiling, and Ad Targeting in the Alexa Echo Smart Speaker Ecosystem“, Proceedings of the ACM Internet Measurement Conference (IMC), 2023. Best Paper Award.
T. Hu, D. Dubois, and D. Choffnes, “BehavIoT: Measuring Smart Home IoT Behavior Using Network-Inferred Behavior Models“, Proceedings of the ACM Internet Measurement Conference (IMC), 2023.
H. Dong, H. Shu, V. Prakash, Y. Zhang, M. Paracha, D. Choffnes, S. Torres-Arias, D. Huang, and Y. Sun, “Behind the Scenes: Uncovering TLS and Server Certificate Practice of IoT Device Vendors in the Wild”, Proceedings of the ACM Internet Measurement Conference (IMC), 2023.
A. Girish, T. Hu, D. Dubois, V.Prakash, D. Dubois, S. Matic, D. Huang, S. Egelman, J. Reardon, J. Tapiador, D. Choffnes, and N. Vallina-Rodriguez, “In the Room Where It Happens: Characterizing Local Communication and Threats in Smart Homes“, Proceedings of the ACM Internet Measurement Conference (IMC), 2023.
W. Hartzog, S. Jordan, D. Choffnes, A. Markopoulou, and Z. Shafiq, “A Scientific Approach to Tech Accountability”, presented at the Beyond the FTC: The Future of Privacy Enforcement Symposium, Harvard Law School, Boston, March 2023. Invited paper to appear in the Harvard Journal of Law and Technology (JoLT).
M. Haroon, M. Wojcieszak, A. Chhabra, X. Liu, P. Mohapatra, and Z. Shafiq, “Auditing YouTube’s recommendation system for ideologically congenial, extreme, and problematic recommendations”, Proceedings of the National Academy of Sciences (PNAS), 2023.
S. Munir, S. Siby, U. Iqbal, S. Englehardt, Z. Shafiq, and C. Troncoso, “CookieGraph: Understanding and Detecting First-Party Tracking Cookies”, Proceedings of the ACM Conference on Computer and Communications Security (CCS), 2023.
S. Jakkamsetti, Y. Kim, and G. Tsudik, “Caveat (IoT) Emptor: Towards Transparency of IoT Device Presence”, In the Proceedings of the ACM Conference on Computer and Communications Security (CCS), 2023.
B. Imana, A. Korolova, and J. Heidemann, “Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest“, Proceedings of ACM Conference on Computer-Supported Cooperative Work And Social Computing (CSCW), 2023.
A. Searles, Y. Nakatsuka, E. Ozturk, A. Paverd, G. Tsudik, and A. Enkoji, “An Empirical Study & Evaluation of Modern CAPTCHAs“, Proceedings of USENIX Security, 2023.
M. Ali, A. Goetzen, A. Mislove, E. M. Redmiles, and P. Sapiezynski, “Problematic Advertising and its Disparate Exposure on Facebook “, Proceedings of USENIX Security, 2023.
H. Cui, R. Trimananda, A. Markopoulou, and S. Jordan, “PoliGraph: Automated Privacy Policy Analysis using Knowledge Graphs“, Proceedings of USENIX Security, 2023.
H. Le, S. Elmalaki, A. Markopoulou, Z. Shafiq, “AutoFR: Automated Filter Rule Generation for Adblocking”, Proceedings of USENIX Security, 2023.
J. Zhang, H. Askari, K. Psounis, and Z. Shafiq, “A Utility-Preserving Obfuscation Approach for YouTube Recommendations”, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
A.H. Amjad, Z. Shafiq, and M.A. Gulzar, “Blocking JavaScript without Breaking the Web”, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
A. Elkordy, J. Zhang, Y. Ezzeldin, K. Psounis, and S. Avestimehr, “How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
A. Pradeep, Á. Feal, J. Gamba, A. Rao, M. Lindorfer, N. Vallina-Rodriguez, and D. Coffnes, “Not Your Average App: A Large-scale Privacy Analysis of Android Browsers“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023. Runner-up Best Student Paper.
N. Shafiq, N. Gerzon, M. Van Nortwick, V. Sun, A. Mislove, and A. Ranganathan, “Track You: A Deep Dive into Safety Alerts for Apple AirTags”, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
Z. Zong, M. Yang, J. Ley, A. Markopoulou, and C. Butts, “Privacy-by-Projection: Federated Population Density Estimation by Projecting on Random Features“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
V. Rao, and A. Korolova, “Discrimination through Image Selection by Job Advertisers on Facebook”, Proceedings of ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2023.
A. Mandalari, H. Haddadi, D. Dubois, D. Choffnes, “Protected or Porous: A Comparative Analysis of Threat Detection Capability of IoT Safeguards”, Proceedings of the IEEE Symposium on Security and Privacy (SP), 2023.
J. Gunawan, M. Kowalcyzk, D. Choffnes, D. Dubois, W. Hartzog, and C. Wilson, “Understanding Dark Patterns in Home IoT Devices”, Proceedings of ACM Human Factors in Computing Systems (CHI), 2023.
M. Luu, M. Ferland, V. Nagaraj Rao, A. Arushi, R. Huynh, F. Reiber, J. Wong-Ma, and M. Shindler, “What is an Algorithms Course?: Survey Results of Introductory Undergraduate Algorithms Courses in the U.S.”, Proceedings of the 54th ACM Technical Symposium on Computer Science Education (SIGCSE), 2023.
S. Lee, T. Zhang, and S. Avestimehr, “Layer-wise Adaptive Model Aggregation for Scalable Federated Learning”, Proceedings of the AAAI Conference on Artificial Intelligence, 2023.
J.C. Zhao, A.R. Elkordy, A. Sharma, Y.H. Ezzeldin, S. Avestimehr, S. Bagchi, “The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
S. Jordan, Y. Nakatsuka, E. Ozturk, A. Paverd, and G. Tsudik, “VICEROY: GDPR-/CCPA-compliant Enforcement of Verifiable Accountless Consumer Requests“, Proceedings of Network and Distributed System Security Symposium (NDSS), 2023. Best Poster Award.
I. Jarin, Y. Duan, R. Trimananda, H. Cui, S. Elmalaki, and A. Markopoulou, “BehaVR: User Identification Based on VR Sensor Data”, in arxiv.org/abs/2308.07304, Aug. 2023.
2022
E. Alimpertis, A. Markopoulou, Carter T. Butts, E. Bakopoulou, and K. Psounis, “A Unified Prediction Framework for Signal Maps: Not All Measurements are Created Equal“, Proceedings of IEEE Transactions on Mobile Computing, 2022.
V. Rao, and A. Korolova, “An Audit of Images Used by Job Advertisers on Facebook, with Implications to Transparency Desiderata“, poster presented at the 2nd ACM Conference on Equity and Access in Algorithms, Mechanism, and Optimization (EAAMO), 2022.
M. Juarez, and A. Korolova, ““You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning“, Proceedings of Machine Learning Research (PMLR). In the Algorithmic Fairness through the Lens of Causality and Privacy Workshop (NeurIPS), 2022.
A. Pradeep, M. T. Paracha, P. Bhowmick, A. Davanian, A. Razaghpanah, T. Chung, M. Lindorfer, N. Vallina-Rodriguez, D. Levin, and D. Choffnes, “A Comparative Analysis of Certificate Pinning in Android & iOS“, Proceedings of the Internet Measurement Conference (IMC), 2022.
L. Kaplan, N. Gerzon, A. Mislove, and P. Sapiezynski, “Measurement and Analysis of Implied Identity in Ad Delivery Optimization“, Proceedings of the Internet Measurement Conference (IMC), 2022. Distinguished Paper Award.
K. Owens, J. Gunawan, D. Choffnes, P. Emami-Naeini, T. Kohno, and F. Roesner “Exploring Deceptive Design Patterns in Voice Interfaces“, Proceedings of the European Symposium on Usable Security (EuroUSEC), 2022.
P. Sapiezynski, A. Ghosh, L. Kaplan, A. Rieke, and A. Mislove, “Algorithms that “Don’t See Color”: Comparing Biases in Lookalike and Special Ad Audiences“, Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2022.
A. Markopoulou, R. Trimananda, and H. Cui, “A CI-based Auditing Framework for Data Collection Practices“, Position paper accepted to 4th Annual Symposium on Applications of Contextual Integrity (PrivaCI), 2022.
Y. (Myles) Liu, Y. Nakatsuka, A. Amiri Sani, S. Agarwal, and G. Tsudik, “Vronicle: Verifiable Provenance for Videos from Mobile Devices“, Proceedings of the Annual International Conference on Mobile Systems, Applications and Services (MobiSys), 2022.
P. Sapiezynski, A. Ghosh, L. Kaplan, A. Mislove, A. Rieke, “Algorithms that “Don’t See Color”: Comparing Biases in Lookalike and Special Ad Audiences“, Proceedings of the Workshop on Technology and Consumer Protection (ConPro’22), 2022. Best Paper Runner Up.
I. De Oliveira Nunes, J. Sashidhar, Y. Kim, and G. Tsudik, “CASU: Compromise Avoidance via Secure Update for Low-End Embedded Systems, Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2022.
I. De Oliveira Nunes, S. Hwang, S. Jakkamsetti, and G. Tsudik, “Privacy-from-Birth: Protecting Sensed Data from Malicious Sensors with VERSA“, Proceedings of the IEEE Symposium on Security and Privacy (SP), 2022.
M. Ali, A. Goetzen, P. Sapiezynski, E. Redmiles, and A. Mislove, “All Things Unequal: Measuring Disparity of Potentially Harmful Ads on Facebook“, Proceedings of the Workshop on Technology and Consumer Protection (ConPro), 2022.
A. Pradeep, H. Javaid, R. Williams, A. Rault, D. Choffnes, S. Le Blond, and B. Ford, “Moby: A Blackout-Resistant Anonymity Network for Mobile Devices“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2022.
J. Varmarken, R. Trimananda, J. Araaj, A. Markopoulou, “FingerprinTV: Fingerprinting SmartTV Apps“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2022.
P. N. Bahrami, U. Iqbal, and Z. Shafiq, “FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2022.
E. Aliaj, I. De Oliveira Nunes, and G. Tsudik, “GAROTA: Generalized Active Root-Of-Trust Architecture (for Tiny Embedded Devices“, Proceedings of USENIX Security, 2022.
R. Trimananda, H. Le, H. Cui, J. T. Ho, A. Shuba, A. Markopoulou, “OVRSeen: Auditing Network Traffic and Privacy Policies in Oculus VR“, Proceedings of USENIX Security, 2022.
S. Siby, U. Iqbal, S. Englehardt, Z. Shafiq, C. Troncoso, “WebGraph: Capturing Advertising and Tracking Information Flows for Robust Blocking“, Proceedings of USENIX Security, 2022.
U. Iqbal, C. Wolfe, C. Nguyen, S. Englehardt, Z. Shafiq, “Khaleesi: Breaker of Advertising and Tracking Request Chains“, Proceedings of USENIX Security, 2022.
J. Zhang, K. Psounis, M. Haroon, Z. Shafiq, “HARPO: Learning to Subvert Online Behavioral Advertising“, Proceedings of Network and Distributed System Security Symposium (NDSS), 2022.
S. Jordan, S. Narasimhan, and J. Hong, “Deficiencies in the Disclosures of Privacy Policy and in User Choice“, Loyola Consumer Law Review , 2022.
2021
S. Jordan, “Aligning Legal Definitions of Personal Information with the Computer Science of Identifiability”, in the Proceedings of the Research Conference on Communication, Information and Internet Policy (TPRC), 2021.
M. T. Paracha, D. Dubois, N. Vallina-Rodriguez, D. Choffnes, “IoTLS: Understanding TLS Usage in Consumer IoT Devices“, Proceedings of the Internet Measurement Conference (IMC), 2021.
A. M. Mandalari, D. Dubois, R. Kolcun, M. T. Paracha, H. Haddadi, D. Choffnes, “Blocking without Breaking: Identification and Mitigation of Non-Essential IoT Traffic“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2021.
A. H. Amjad, D. Saleem, M. A. Gulzar, Z. Shafiq, F. Zaffar, “TrackerSift: Untangling Mixed Tracking and Functional Web Resources“, Proceedings of the Internet Measurement Conference (IMC), 2021.
L. Kaplan, A. Mislove, P. Sapiezynski, “Measuring Biases in a Data Broker’s Coverage“, poster to appear in Proceedings of the Internet Measurement Conference (IMC), 2021.
B. Imana, A. Korolova, J. Heidemann, “Auditing for Discrimination in Algorithms Delivering Job Ads“, Proceedings of The Web Conference (WWW), 2021. Best Student Paper Runner Up.
S.J. Saidi, A.M. Mandalari, H. Haddadi, D. Dubois, D. Choffnes, G. Smaragdakis, and A. Feldmann “Detecting consumer IoT devices through the lens of an ISP“, Proceedings of the Applied Networking Research Workshop (ANRW), 2021.
M. Ali, P. Sapiezynski, A. Korolova, A. Mislove, A. Rieke, “Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging“, Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM), 2021.
J. Gunawan, D. Choffnes, W. Hartzog, and C. Wilson, “A Comparative Study of Dark Patterns Across Web and Mobile Modalities“, Proceedings of the ACM on Human-Computer Interaction (CSCW2), 2021.
U. Iqbal, S. Englehardt, Z. Shafiq, “Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors“, Proceedings of the IEEE Symposium on Security and Privacy (SP), 2021. Acceptance rate ~11.9%.
H. Le, A. Markopoulou, Z. Shafiq, “CV-Inspector: Towards Automating Detection of Adblock Circumvention“, Proceedings of Network and Distributed System Security Symposium (NDSS), February 2021. Acceptance rate ~15.2%.
T. Nakatsuka, E. Ozturk, A. Paverd, G. Tsudik, “CACTI: Captcha Avoidance via Client-side TEE Integration“, Proceedings of USENIX Security, 2021.
I. De Oliveira Nunes, X. Ding, G. Tsudik, “On the Root of Trust Identification Problem“, Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN), 2021.
I. De Oliveira Nunes, S. Jakkamsett, G. Tsudik, “DIALED: Data Integrity Attestation for Low-end Embedded Devices“, Proceedings of ACM/IEEE Design Automation Conference (DAC), 2021.
Measurement
T. Hu, D. Dubois, and D. Choffnes, “IoT Bricks Over v6: Understanding IPv6 Usage in Smart Homes“, Proceedings of the ACM Internet Measurement Conference (IMC), 2024.
O. Figueira, R. Trimananda, A. Markopoulou, and S. Jordan, “DiffAudit: Auditing Privacy Practices of Online Services for Children and Adolescents“, Proceedings of the ACM Internet Measurement Conference (IMC), 2024. Best Student Paper Award.
D. Dubois, N. Holliday, K. Waddell, and D. Choffnes, “Fair or Fare? Understanding Automated Transcription Error Bias in Social Media and Videoconferencing Platforms”, Proceedings of the International AAAI Conference on Web and Social Media (ICWSM’24), 2024.
V. Safronov, A. M. Mandalari, D. Dubois, D. Choffnes, and H. Haddadi, “SunBlock: Cloudless Protection for IoT Systems” Proceedings of the Passive and Active Measurement Conference (PAM 2024), 2024.
H. Dong, H. Shu, V. Prakash, Y. Zhang, M. Paracha, D. Choffnes, S. Torres-Arias, D. Huang, and Y. Sun, “Behind the Scenes: Uncovering TLS and Server Certificate Practice of IoT Device Vendors in the Wild”, Proceedings of the ACM Internet Measurement Conference (IMC), 2023.
T. Hu, D. Dubois, and D. Choffnes, “BehavIoT: Measuring Smart Home IoT Behavior Using Network-Inferred Behavior Models“, Proceedings of the ACM Internet Measurement Conference (IMC), 2023.
A. Girish, T. Hu, D. Dubois, V.Prakash, D. Dubois, S. Matic, D. Huang, S. Egelman, J. Reardon, J. Tapiador, D. Choffnes, and N. Vallina-Rodriguez, “In the Room Where It Happens: Characterizing Local Communication and Threats in Smart Homes“, Proceedings of the ACM Internet Measurement Conference (IMC), 2023.
A. Pradeep, Á. Feal, J. Gamba, A. Rao, M. Lindorfer, N. Vallina-Rodriguez, and D. Coffnes, “Not Your Average App: A Large-scale Privacy Analysis of Android Browsers“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023. Runner-up Best Student Paper.
N. Shafiq, N. Gerzon, M. Van Nortwick, V. Sun, A. Mislove, and A. Ranganathan, “Track You: A Deep Dive into Safety Alerts for Apple AirTags”, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
A. Mandalari, H. Haddadi, D. Dubois, D. Choffnes, “Protected or Porous: A Comparative Analysis of Threat Detection Capability of IoT Safeguards”, Proceedings of the IEEE Symposium on Security and Privacy (SP), 2023.
J. Gunawan, M. Kowalcyzk, D. Choffnes, D. Dubois, W. Hartzog, and C. Wilson, “Understanding Dark Patterns in Home IoT Devices”, Proceedings of ACM Human Factors in Computing Systems (CHI), 2023.
A. Pradeep, M. T. Paracha, P. Bhowmick, A. Davanian, A. Razaghpanah, T. Chung, M. Lindorfer, N. Vallina-Rodriguez, D. Levin, and D. Choffnes, “A Comparative Analysis of Certificate Pinning in Android & iOS“, Proceedings of the Internet Measurement Conference (IMC), 2022.
A. Pradeep, H. Javaid, R. Williams, A. Rault, D. Choffnes, S. Le Blond, and B. Ford, “Moby: A Blackout-Resistant Anonymity Network for Mobile Devices“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2022.
J. Varmarken, R. Trimananda, J. Araaj, A. Markopoulou, “FingerprinTV: Fingerprinting SmartTV Apps“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2022.
J. Gunawan, D. Choffnes, W. Hartzog, and C. Wilson, “A Comparative Study of Dark Patterns Across Web and Mobile Modalities“, Proceedings of the ACM on Human-Computer Interaction (CSCW2), 2021.
M. T. Paracha, D. Dubois, N. Vallina-Rodriguez, D. Choffnes, “IoTLS: Understanding TLS Usage in Consumer IoT Devices“, Proceedings of the Internet Measurement Conference (IMC), 2021.
A. M. Mandalari, D. Dubois, R. Kolcun, M. T. Paracha, H. Haddadi, D. Choffnes, “Blocking without Breaking: Identification and Mitigation of Non-Essential IoT Traffic“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2021.
S.J. Saidi, A.M. Mandalari, H. Haddadi, D. Dubois, D. Choffnes, G. Smaragdakis, and A. Feldmann “Detecting consumer IoT devices through the lens of an ISP“, Proceedings of the Applied Networking Research Workshop (ANRW), 2021.
Adtech, Tracking, Data Brokers
G. Anselmi, Y. Vekaria, A. D’Souza, P. Callejo, A.M. Mandalari, and Z. Shafiq, “Watching TV with the Second-Party: A First Look at Automatic Content Recognition Tracking in Smart TVs“, Proceedings of the ACM Internet Measurement Conference (IMC), 2024.
J. Zhang, Q. Wu, Y. Xu, C. Cao, Z. Du, and K. Psounis, “Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models”, Proceedings of the AAAI Conference on Artificial Intelligence, 2024.
H. Venugopalan, Z.A. Din, T. Carpenter, J. Lowe-Power, S.T King, and Z. Shafiq, “Aragorn: A Privacy-Enhancing System for Mobile Cameras“, to appear in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 2024.
Y. Vekaria, R. Nithyanand, and Z. Shafiq, “The Inventory is Dark and Full of Misinformation: Understanding Ad Inventory Pooling in the Ad-Tech Supply Chain“, Proceedings of the IEEE Symposium on Security & Privacy (SP), 2024.
M. Haroon, M. Wojcieszak, A. Chhabra, X. Liu, P. Mohapatra, and Z. Shafiq, “Auditing YouTube’s recommendation system for ideologically congenial, extreme, and problematic recommendations”, Proceedings of the National Academy of Sciences (PNAS), 2023.
S. Munir, S. Siby, U. Iqbal, S. Englehardt, Z. Shafiq, and C. Troncoso, “CookieGraph: Understanding and Detecting First-Party Tracking Cookies”, Proceedings of the ACM Conference on Computer and Communications Security (CCS), 2023.
B. Imana, A. Korolova, and J. Heidemann, “Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest“, Proceedings of ACM Conference on Computer-Supported Cooperative Work And Social Computing (CSCW), 2023.
J. Zhang, H. Askari, K. Psounis, and Z. Shafiq, “A Utility-Preserving Obfuscation Approach for YouTube Recommendations”, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
A.H. Amjad, Z. Shafiq, and M.A. Gulzar, “Blocking JavaScript without Breaking the Web”, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
M. Ali, A. Goetzen, A. Mislove, E. M. Redmiles, and P. Sapiezynski, “Problematic Advertising and its Disparate Exposure on Facebook “, Proceedings of USENIX Security, 2023.
H. Le, S. Elmalaki, A. Markopoulou, Z. Shafiq, “AutoFR: Automated Filter Rule Generation for Adblocking”, Proceedings of USENIX Security, 2023.
V. Rao, and A. Korolova, “An Audit of Images Used by Job Advertisers on Facebook, with Implications to Transparency Desiderata“, poster presented at the 2nd ACM Conference on Equity and Access in Algorithms, Mechanism, and Optimization (EAAMO), 2022.
K. Owens, J. Gunawan, D. Choffnes, P. Emami-Naeini, T. Kohno, and F. Roesner “Exploring Deceptive Design Patterns in Voice Interfaces“, Proceedings of the European Symposium on Usable Security (EuroUSEC), 2022.
L. Kaplan, N. Gerzon, A. Mislove, and P. Sapiezynski, “Measurement and Analysis of Implied Identity in Ad Delivery Optimization“, Proceedings of the Internet Measurement Conference (IMC), 2022. Distinguished Paper Award.
P. N. Bahrami, U. Iqbal, and Z. Shafiq, “FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2022.
M. Ali, A. Goetzen, P. Sapiezynski, E. Redmiles, and A. Mislove, “All Things Unequal: Measuring Disparity of Potentially Harmful Ads on Facebook“, Proceedings of the Workshop on Technology and Consumer Protection (ConPro), 2022.
P. Sapiezynski, A. Ghosh, L. Kaplan, A. Rieke, and A. Mislove, “Algorithms that “Don’t See Color”: Comparing Biases in Lookalike and Special Ad Audiences“, Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2022.
P. Sapiezynski, A. Ghosh, L. Kaplan, A. Mislove, A. Rieke, “Algorithms that “Don’t See Color”: Comparing Biases in Lookalike and Special Ad Audiences“, Proceedings of the Workshop on Technology and Consumer Protection (ConPro’22), 2022. Best Paper Runner Up.
U. Iqbal, C. Wolfe, C. Nguyen, S. Englehardt, Z. Shafiq, “Khaleesi: Breaker of Advertising and Tracking Request Chains“, Proceedings of USENIX Security, 2022.
J. Zhang, K. Psounis, M. Haroon, Z. Shafiq, “HARPO: Learning to Subvert Online Behavioral Advertising“, Proceedings of Network and Distributed System Security Symposium (NDSS), 2022.
U. Iqbal, P. N Bahrami, R. Trimananda, H. Cui, A. Gamero-Garrido, D. Dubois, D. Choffnes, A. Markopoulou, F. Roesner, and Z. Shafiq, “Tracking, Profiling, and Ad Targeting in the Alexa Echo Smart Speaker Ecosystem“, Proceedings of the ACM Internet Measurement Conference (IMC), 2023. Best Paper Award.
S. Siby, U. Iqbal, S. Englehardt, Z. Shafiq, C. Troncoso, “WebGraph: Capturing Advertising and Tracking Information Flows for Robust Blocking“, Proceedings of USENIX Security, 2022.
A. H. Amjad, D. Saleem, M. A. Gulzar, Z. Shafiq, F. Zaffar, “TrackerSift: Untangling Mixed Tracking and Functional Web Resources“, Proceedings of the Internet Measurement Conference (IMC), 2021.
L. Kaplan, A. Mislove, P. Sapiezynski, “Measuring Biases in a Data Broker’s Coverage“, poster to appear in Proceedings of the Internet Measurement Conference (IMC), 2021.
B. Imana, A. Korolova, J. Heidemann, “Auditing for Discrimination in Algorithms Delivering Job Ads“, Proceedings of The Web Conference (WWW), 2021. Best Student Paper Runner Up.
M. Ali, P. Sapiezynski, A. Korolova, A. Mislove, A. Rieke, “Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging“, Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM), 2021.
U. Iqbal, S. Englehardt, Z. Shafiq, “Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors“, Proceedings of the IEEE Symposium on Security and Privacy (SP), 2021. Acceptance rate ~11.9%.
H. Le, A. Markopoulou, Z. Shafiq, “CV-Inspector: Towards Automating Detection of Adblock Circumvention“, Proceedings of Network and Distributed System Security Symposium (NDSS), February 2021. Acceptance rate ~15.2%.
Security Architectures and TEEs
R. Tarafder Prapty, S. Jakkamsetti, and Gene Tsudik, “KESIC: Kerberos Extensions for Smart, IoT and CPS Devices“, to appear in the Proceedings of the IEEE Conference on Computer Communications and Networks (ICCCN), 2024.
S. Hwang, S. Jaarecki, Z. Karl, E. van Kempen, and G. Tsudik, “PIVA: Privacy-Preserving Identity Verification Methods for Accountless Users via Private List Intersection and Its Variants”, to appear in the Proceedings of the European Symposium on Research in Computer Security (ESORICS), 2024.
M. Conti, M. Duroyon, G. Orazi, and G. Tsudik, “Acoustic Side-Channel Attacks on a Computer Mouse“, In the Proceedings of the Detection of Intrusions and Malware & Vulnerability Assessment Conference (DIMVA), 2024.
P. De Vaere, F. Stöger, A. Perrig, and G. Tsudik, “The SA4P Framework: Sensing and Actuation as a Privilege”, In the Proceedings of the ACM Asia Conference on Computer and Communications Security (ASIA CCS), 2024.
Y. Liu, Z. Yao, M. Chen, A. Amiri Sani, S. Agarwal, and G. Tsudik, “ProvCam: A Camera Module with Self-Contained TCB for Producing Verifiable Videos”, Proceedings of the ACM Conference on Mobile Computing and Networking (MobiCom), 2024.
X. Carpent, S. Hwang, and G. Tsudik, “Element Distinctness and Bounded Input Size in Private Set Intersection and Related Protocols”, Proceedings of the Applied Cryptography and Network Security (ACNS) Conference, 2024.
S. Jakkamsetti, Y. Kim, and G. Tsudik, “Caveat (IoT) Emptor: Towards Transparency of IoT Device Presence”, In the Proceedings of the ACM Conference on Computer and Communications Security (CCS), 2023.
I. De Oliveira Nunes, S. Hwang, N. Rattanavipanon, S. Jakkamsetti, and G. Tsudik, “PARseL: Towards a Verified Root-of-Trust over seL4”, to appear in the Proceedings of the International Conference On Computer Aided Design (ICCAD), 2023.
A. Searles, Y. Nakatsuka, E. Ozturk, A. Paverd, G. Tsudik, and A. Enkoji, “An Empirical Study & Evaluation of Modern CAPTCHAs“, Proceedings of USENIX Security, 2023.
I. De Oliveira Nunes, J. Sashidhar, Y. Kim, and G. Tsudik, “CASU: Compromise Avoidance via Secure Update for Low-End Embedded Systems, Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2022.
E. Aliaj, I. De Oliveira Nunes, and G. Tsudik, “GAROTA: Generalized Active Root-Of-Trust Architecture (for Tiny Embedded Devices“, Proceedings of USENIX Security, 2022.
S. Jordan, Y. Nakatsuka, E. Ozturk, A. Paverd, and G. Tsudik, “VICEROY: GDPR-/CCPA-compliant Enforcement of Verifiable Accountless Consumer Requests“, Proceedings of Network and Distributed System Security Symposium (NDSS), 2023. Best Poster Award.
Y. (Myles) Liu, Y. Nakatsuka, A. Amiri Sani, S. Agarwal, and G. Tsudik, “Vronicle: Verifiable Provenance for Videos from Mobile Devices“, Proceedings of the Annual International Conference on Mobile Systems, Applications and Services (MobiSys), 2022.
I. De Oliveira Nunes, S. Hwang, S. Jakkamsetti, and G. Tsudik, “Privacy-from-Birth: Protecting Sensed Data from Malicious Sensors with VERSA“, Proceedings of the IEEE Symposium on Security and Privacy (SP), 2022.
T. Nakatsuka, E. Ozturk, A. Paverd, G. Tsudik, “CACTI: Captcha Avoidance via Client-side TEE Integration“, Proceedings of USENIX Security, 2021.
I. De Oliveira Nunes, X. Ding, G. Tsudik, “On the Root of Trust Identification Problem“, Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN), 2021.
I. De Oliveira Nunes, S. Jakkamsett, G. Tsudik, “DIALED: Data Integrity Attestation for Low-end Embedded Devices“, Proceedings of ACM/IEEE Design Automation Conference (DAC), 2021.
Policy-Technology
O. Figueira, R. Trimananda, A. Markopoulou, and S. Jordan, “DiffAudit: Auditing Privacy Practices of Online Services for Children and Adolescents“, Proceedings of the ACM Internet Measurement Conference (IMC), 2024. Best Student Paper Award.
W. Hartzog, S. Jordan, D. Choffnes, A. Markopoulou, and Z. Shafiq, “A Scientific Approach to Tech Accountability”, presented at the Beyond the FTC: The Future of Privacy Enforcement Symposium, Harvard Law School, Boston, March 2023. Invited paper to appear in the Harvard Journal of Law and Technology (JoLT).
V. Rao, and A. Korolova, “Discrimination through Image Selection by Job Advertisers on Facebook”, Proceedings of ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2023.
S. Jordan, Y. Nakatsuka, E. Ozturk, A. Paverd, and G. Tsudik, “VICEROY: GDPR-/CCPA-compliant Enforcement of Verifiable Accountless Consumer Requests“, Proceedings of Network and Distributed System Security Symposium (NDSS), 2023. Best Poster Award.
H. Cui, R. Trimananda, A. Markopoulou, and S. Jordan, “PoliGraph: Automated Privacy Policy Analysis using Knowledge Graphs“, Proceedings of USENIX Security, 2023.
A. Markopoulou, R. Trimananda, and H. Cui, “A CI-based Auditing Framework for Data Collection Practices“, Position paper accepted to 4th Annual Symposium on Applications of Contextual Integrity (PrivaCI), 2022.
R. Trimananda, H. Le, H. Cui, J. T. Ho, A. Shuba, A. Markopoulou, “OVRSeen: Auditing Network Traffic and Privacy Policies in Oculus VR“, Proceedings of USENIX Security, 2022.
U. Iqbal, P. N Bahrami, R. Trimananda, H. Cui, A. Gamero-Garrido, D. Dubois, D. Choffnes, A. Markopoulou, F. Roesner, and Z. Shafiq, “Tracking, Profiling, and Ad Targeting in the Alexa Echo Smart Speaker Ecosystem“, Proceedings of the ACM Internet Measurement Conference (IMC), 2023. Best Paper Award.
Federated Learning: Privacy Attacks and Defenses
H. Saleem, A. Ziashahabi, M. Naveed, and S. Avestimehr, “Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation,” Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2024.
J. Zhao, A. Sharma, A. Elkordy, Y. Ezzeldin, S. Avestimehr, and S. Bagchi, “LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation“, Proceedings of the IEEE Symposium on Security and Privacy (SP), 2024.
Z. Zong, M. Yang, J. Ley, A. Markopoulou, and C. Butts, “Privacy-by-Projection: Federated Population Density Estimation by Projecting on Random Features“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
S. Lee, T. Zhang, and S. Avestimehr, “Layer-wise Adaptive Model Aggregation for Scalable Federated Learning”, Proceedings of the AAAI Conference on Artificial Intelligence, 2023.
M. Juarez, and A. Korolova, ““You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning“, Proceedings of Machine Learning Research (PMLR). In the Algorithmic Fairness through the Lens of Causality and Privacy Workshop (NeurIPS), 2022.
J.C. Zhao, A.R. Elkordy, A. Sharma, Y.H. Ezzeldin, S. Avestimehr, S. Bagchi, “The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
A. Elkordy, J. Zhang, Y. Ezzeldin, K. Psounis, and S. Avestimehr, “How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
E. Alimpertis, A. Markopoulou, Carter T. Butts, E. Bakopoulou, and K. Psounis, “A Unified Prediction Framework for Signal Maps: Not All Measurements are Created Equal“, Proceedings of IEEE Transactions on Mobile Computing, 2022.
E. Bakopoulou, M. Yang, J. Zhang, K. Psounis, and A. Markopoulou, “Location Leakage in Federated Signal Maps”, Proceedings of the IEEE Transactions on Mobile Computing, Oct. 2023.
O. Figueira, R. Trimananda, A. Markopoulou, and S. Jordan, “DiffAudit: Auditing Privacy Practices of Online Services for Children and Adolescents“, Proceedings of the ACM Internet Measurement Conference (IMC), 2024. Best Student Paper Award.
R. Tarafder Prapty, S. Jakkamsetti, and Gene Tsudik, “KESIC: Kerberos Extensions for Smart, IoT and CPS Devices“, to appear in the Proceedings of the IEEE Conference on Computer Communications and Networks (ICCCN), 2024.
S. Hwang, S. Jaarecki, Z. Karl, E. van Kempen, and G. Tsudik, “PIVA: Privacy-Preserving Identity Verification Methods for Accountless Users via Private List Intersection and Its Variants”, to appear in the Proceedings of the European Symposium on Research in Computer Security (ESORICS), 2024.
M. Conti, M. Duroyon, G. Orazi, and G. Tsudik, “Acoustic Side-Channel Attacks on a Computer Mouse“, In the Proceedings of the Detection of Intrusions and Malware & Vulnerability Assessment Conference (DIMVA), 2024.
P. De Vaere, F. Stöger, A. Perrig, and G. Tsudik, “The SA4P Framework: Sensing and Actuation as a Privilege”, In the Proceedings of the ACM Asia Conference on Computer and Communications Security (ASIA CCS), 2024.
Y. Liu, Z. Yao, M. Chen, A. Amiri Sani, S. Agarwal, and G. Tsudik, “ProvCam: A Camera Module with Self-Contained TCB for Producing Verifiable Videos”, Proceedings of the ACM Conference on Mobile Computing and Networking (MobiCom), 2024.
X. Carpent, S. Hwang, and G. Tsudik, “Element Distinctness and Bounded Input Size in Private Set Intersection and Related Protocols”, Proceedings of the Applied Cryptography and Network Security (ACNS) Conference, 2024.
S. Jakkamsetti, Y. Kim, and G. Tsudik, “Caveat (IoT) Emptor: Towards Transparency of IoT Device Presence”, In the Proceedings of the ACM Conference on Computer and Communications Security (CCS), 2023.
E. Bakopoulou, M. Yang, J. Zhang, K. Psounis, and A. Markopoulou, “Location Leakage in Federated Signal Maps”, Proceedings of the IEEE Transactions on Mobile Computing, Oct. 2023.
I. De Oliveira Nunes, S. Hwang, N. Rattanavipanon, S. Jakkamsetti, and G. Tsudik, “PARseL: Towards a Verified Root-of-Trust over seL4”, to appear in the Proceedings of the International Conference On Computer Aided Design (ICCAD), 2023.
A. Searles, Y. Nakatsuka, E. Ozturk, A. Paverd, G. Tsudik, and A. Enkoji, “An Empirical Study & Evaluation of Modern CAPTCHAs“, Proceedings of USENIX Security, 2023.
W. Hartzog, S. Jordan, D. Choffnes, A. Markopoulou, and Z. Shafiq, “A Scientific Approach to Tech Accountability”, presented at the Beyond the FTC: The Future of Privacy Enforcement Symposium, Harvard Law School, Boston, March 2023. Invited paper to appear in the Harvard Journal of Law and Technology (JoLT).
H. Cui, R. Trimananda, A. Markopoulou, and S. Jordan, “PoliGraph: Automated Privacy Policy Analysis using Knowledge Graphs“, Proceedings of USENIX Security, 2023.
H. Le, S. Elmalaki, A. Markopoulou, Z. Shafiq, “AutoFR: Automated Filter Rule Generation for Adblocking”, Proceedings of USENIX Security, 2023.
Z. Zong, M. Yang, J. Ley, A. Markopoulou, and C. Butts, “Privacy-by-Projection: Federated Population Density Estimation by Projecting on Random Features“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
S. Jordan, Y. Nakatsuka, E. Ozturk, A. Paverd, and G. Tsudik, “VICEROY: GDPR-/CCPA-compliant Enforcement of Verifiable Accountless Consumer Requests“, Proceedings of Network and Distributed System Security Symposium (NDSS), 2023. Best Poster Award.
I. Jarin, Y. Duan, R. Trimananda, H. Cui, S. Elmalaki, and A. Markopoulou, “BehaVR: User Identification Based on VR Sensor Data”, in arxiv.org/abs/2308.07304, Aug. 2023.
E. Alimpertis, A. Markopoulou, Carter T. Butts, E. Bakopoulou, and K. Psounis, “A Unified Prediction Framework for Signal Maps: Not All Measurements are Created Equal“, Proceedings of IEEE Transactions on Mobile Computing, 2022.
A. Markopoulou, R. Trimananda, and H. Cui, “A CI-based Auditing Framework for Data Collection Practices“, Position paper accepted to 4th Annual Symposium on Applications of Contextual Integrity (PrivaCI), 2022.
U. Iqbal, P. N Bahrami, R. Trimananda, H. Cui, A. Gamero-Garrido, D. Dubois, D. Choffnes, A. Markopoulou, F. Roesner, and Z. Shafiq, “Tracking, Profiling, and Ad Targeting in the Alexa Echo Smart Speaker Ecosystem“, Proceedings of the ACM Internet Measurement Conference (IMC), 2023. Best Paper Award.
I. De Oliveira Nunes, J. Sashidhar, Y. Kim, and G. Tsudik, “CASU: Compromise Avoidance via Secure Update for Low-End Embedded Systems, Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2022.
E. Aliaj, I. De Oliveira Nunes, and G. Tsudik, “GAROTA: Generalized Active Root-Of-Trust Architecture (for Tiny Embedded Devices“, Proceedings of USENIX Security, 2022.
Y. (Myles) Liu, Y. Nakatsuka, A. Amiri Sani, S. Agarwal, and G. Tsudik, “Vronicle: Verifiable Provenance for Videos from Mobile Devices“, Proceedings of the Annual International Conference on Mobile Systems, Applications and Services (MobiSys), 2022.
I. De Oliveira Nunes, S. Hwang, S. Jakkamsetti, and G. Tsudik, “Privacy-from-Birth: Protecting Sensed Data from Malicious Sensors with VERSA“, Proceedings of the IEEE Symposium on Security and Privacy (SP), 2022.
J. Varmarken, R. Trimananda, J. Araaj, A. Markopoulou, “FingerprinTV: Fingerprinting SmartTV Apps“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2022.
R. Trimananda, H. Le, H. Cui, J. T. Ho, A. Shuba, A. Markopoulou, “OVRSeen: Auditing Network Traffic and Privacy Policies in Oculus VR“, Proceedings of USENIX Security, 2022.
H. Le, A. Markopoulou, Z. Shafiq, “CV-Inspector: Towards Automating Detection of Adblock Circumvention“, Proceedings of Network and Distributed System Security Symposium (NDSS), February 2021. Acceptance rate ~15.2%.
S. Jordan, “Aligning Legal Definitions of Personal Information with the Computer Science of Identifiability”, in the Proceedings of the Research Conference on Communication, Information and Internet Policy (TPRC), 2021.
T. Nakatsuka, E. Ozturk, A. Paverd, G. Tsudik, “CACTI: Captcha Avoidance via Client-side TEE Integration“, Proceedings of USENIX Security, 2021.
I. De Oliveira Nunes, X. Ding, G. Tsudik, “On the Root of Trust Identification Problem“, Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN), 2021.
I. De Oliveira Nunes, S. Jakkamsett, G. Tsudik, “DIALED: Data Integrity Attestation for Low-end Embedded Devices“, Proceedings of ACM/IEEE Design Automation Conference (DAC), 2021.
G. Anselmi, Y. Vekaria, A. D’Souza, P. Callejo, A.M. Mandalari, and Z. Shafiq, “Watching TV with the Second-Party: A First Look at Automatic Content Recognition Tracking in Smart TVs“, Proceedings of the ACM Internet Measurement Conference (IMC), 2024.
H. Venugopalan, Z.A. Din, T. Carpenter, J. Lowe-Power, S.T King, and Z. Shafiq, “Aragorn: A Privacy-Enhancing System for Mobile Cameras“, to appear in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 2024.
Y. Vekaria, R. Nithyanand, and Z. Shafiq, “The Inventory is Dark and Full of Misinformation: Understanding Ad Inventory Pooling in the Ad-Tech Supply Chain“, Proceedings of the IEEE Symposium on Security & Privacy (SP), 2024.
W. Hartzog, S. Jordan, D. Choffnes, A. Markopoulou, and Z. Shafiq, “A Scientific Approach to Tech Accountability”, presented at the Beyond the FTC: The Future of Privacy Enforcement Symposium, Harvard Law School, Boston, March 2023. Invited paper to appear in the Harvard Journal of Law and Technology (JoLT).
M. Haroon, M. Wojcieszak, A. Chhabra, X. Liu, P. Mohapatra, and Z. Shafiq, “Auditing YouTube’s recommendation system for ideologically congenial, extreme, and problematic recommendations”, Proceedings of the National Academy of Sciences (PNAS), 2023.
S. Munir, S. Siby, U. Iqbal, S. Englehardt, Z. Shafiq, and C. Troncoso, “CookieGraph: Understanding and Detecting First-Party Tracking Cookies”, Proceedings of the ACM Conference on Computer and Communications Security (CCS), 2023.
H. Le, S. Elmalaki, A. Markopoulou, Z. Shafiq, “AutoFR: Automated Filter Rule Generation for Adblocking”, Proceedings of USENIX Security, 2023.
J. Zhang, H. Askari, K. Psounis, and Z. Shafiq, “A Utility-Preserving Obfuscation Approach for YouTube Recommendations”, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
A.H. Amjad, Z. Shafiq, and M.A. Gulzar, “Blocking JavaScript without Breaking the Web”, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
P. N. Bahrami, U. Iqbal, and Z. Shafiq, “FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2022.
U. Iqbal, C. Wolfe, C. Nguyen, S. Englehardt, Z. Shafiq, “Khaleesi: Breaker of Advertising and Tracking Request Chains“, Proceedings of USENIX Security, 2022.
U. Iqbal, P. N Bahrami, R. Trimananda, H. Cui, A. Gamero-Garrido, D. Dubois, D. Choffnes, A. Markopoulou, F. Roesner, and Z. Shafiq, “Tracking, Profiling, and Ad Targeting in the Alexa Echo Smart Speaker Ecosystem“, Proceedings of the ACM Internet Measurement Conference (IMC), 2023. Best Paper Award.
J. Zhang, K. Psounis, M. Haroon, Z. Shafiq, “HARPO: Learning to Subvert Online Behavioral Advertising“, Proceedings of Network and Distributed System Security Symposium (NDSS), 2022.
S. Siby, U. Iqbal, S. Englehardt, Z. Shafiq, C. Troncoso, “WebGraph: Capturing Advertising and Tracking Information Flows for Robust Blocking“, Proceedings of USENIX Security, 2022.
A. H. Amjad, D. Saleem, M. A. Gulzar, Z. Shafiq, F. Zaffar, “TrackerSift: Untangling Mixed Tracking and Functional Web Resources“, Proceedings of the Internet Measurement Conference (IMC), 2021.
U. Iqbal, S. Englehardt, Z. Shafiq, “Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors“, Proceedings of the IEEE Symposium on Security and Privacy (SP), 2021. Acceptance rate ~11.9%.
H. Le, A. Markopoulou, Z. Shafiq, “CV-Inspector: Towards Automating Detection of Adblock Circumvention“, Proceedings of Network and Distributed System Security Symposium (NDSS), February 2021. Acceptance rate ~15.2%.
T. Hu, D. Dubois, and D. Choffnes, “IoT Bricks Over v6: Understanding IPv6 Usage in Smart Homes“, Proceedings of the ACM Internet Measurement Conference (IMC), 2024.
D. Dubois, N. Holliday, K. Waddell, and D. Choffnes, “Fair or Fare? Understanding Automated Transcription Error Bias in Social Media and Videoconferencing Platforms”, Proceedings of the International AAAI Conference on Web and Social Media (ICWSM’24), 2024.
V. Safronov, A. M. Mandalari, D. Dubois, D. Choffnes, and H. Haddadi, “SunBlock: Cloudless Protection for IoT Systems” Proceedings of the Passive and Active Measurement Conference (PAM 2024), 2024.
H. Dong, H. Shu, V. Prakash, Y. Zhang, M. Paracha, D. Choffnes, S. Torres-Arias, D. Huang, and Y. Sun, “Behind the Scenes: Uncovering TLS and Server Certificate Practice of IoT Device Vendors in the Wild”, Proceedings of the ACM Internet Measurement Conference (IMC), 2023.
T. Hu, D. Dubois, and D. Choffnes, “BehavIoT: Measuring Smart Home IoT Behavior Using Network-Inferred Behavior Models“, Proceedings of the ACM Internet Measurement Conference (IMC), 2023.
A. Girish, T. Hu, D. Dubois, V.Prakash, D. Dubois, S. Matic, D. Huang, S. Egelman, J. Reardon, J. Tapiador, D. Choffnes, and N. Vallina-Rodriguez, “In the Room Where It Happens: Characterizing Local Communication and Threats in Smart Homes“, Proceedings of the ACM Internet Measurement Conference (IMC), 2023.
A. Mandalari, H. Haddadi, D. Dubois, D. Choffnes, “Protected or Porous: A Comparative Analysis of Threat Detection Capability of IoT Safeguards”, Proceedings of the IEEE Symposium on Security and Privacy (SP), 2023.
N. Shafiq, N. Gerzon, M. Van Nortwick, V. Sun, A. Mislove, and A. Ranganathan, “Track You: A Deep Dive into Safety Alerts for Apple AirTags”, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
M. Ali, A. Goetzen, A. Mislove, E. M. Redmiles, and P. Sapiezynski, “Problematic Advertising and its Disparate Exposure on Facebook “, Proceedings of USENIX Security, 2023.
W. Hartzog, S. Jordan, D. Choffnes, A. Markopoulou, and Z. Shafiq, “A Scientific Approach to Tech Accountability”, presented at the Beyond the FTC: The Future of Privacy Enforcement Symposium, Harvard Law School, Boston, March 2023. Invited paper to appear in the Harvard Journal of Law and Technology (JoLT).
J. Gunawan, M. Kowalcyzk, D. Choffnes, D. Dubois, W. Hartzog, and C. Wilson, “Understanding Dark Patterns in Home IoT Devices”, Proceedings of ACM Human Factors in Computing Systems (CHI), 2023.
K. Owens, J. Gunawan, D. Choffnes, P. Emami-Naeini, T. Kohno, and F. Roesner “Exploring Deceptive Design Patterns in Voice Interfaces“, Proceedings of the European Symposium on Usable Security (EuroUSEC), 2022.
A. Pradeep, Á. Feal, J. Gamba, A. Rao, M. Lindorfer, N. Vallina-Rodriguez, and D. Coffnes, “Not Your Average App: A Large-scale Privacy Analysis of Android Browsers“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023. Runner-up Best Student Paper.
A. Pradeep, M. T. Paracha, P. Bhowmick, A. Davanian, A. Razaghpanah, T. Chung, M. Lindorfer, N. Vallina-Rodriguez, D. Levin, and D. Choffnes, “A Comparative Analysis of Certificate Pinning in Android & iOS“, Proceedings of the Internet Measurement Conference (IMC), 2022.
L. Kaplan, N. Gerzon, A. Mislove, and P. Sapiezynski, “Measurement and Analysis of Implied Identity in Ad Delivery Optimization“, Proceedings of the Internet Measurement Conference (IMC), 2022. Distinguished Paper Award.
U. Iqbal, P. N Bahrami, R. Trimananda, H. Cui, A. Gamero-Garrido, D. Dubois, D. Choffnes, A. Markopoulou, F. Roesner, and Z. Shafiq, “Tracking, Profiling, and Ad Targeting in the Alexa Echo Smart Speaker Ecosystem“, Proceedings of the ACM Internet Measurement Conference (IMC), 2023. Best Paper Award.
A. Pradeep, H. Javaid, R. Williams, A. Rault, D. Choffnes, S. Le Blond, and B. Ford, “Moby: A Blackout-Resistant Anonymity Network for Mobile Devices“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2022.
M. Ali, A. Goetzen, P. Sapiezynski, E. Redmiles, and A. Mislove, “All Things Unequal: Measuring Disparity of Potentially Harmful Ads on Facebook“, Proceedings of the Workshop on Technology and Consumer Protection (ConPro), 2022.
P. Sapiezynski, A. Ghosh, L. Kaplan, A. Rieke, and A. Mislove, “Algorithms that “Don’t See Color”: Comparing Biases in Lookalike and Special Ad Audiences“, Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2022.
P. Sapiezynski, A. Ghosh, L. Kaplan, A. Mislove, A. Rieke, “Algorithms that “Don’t See Color”: Comparing Biases in Lookalike and Special Ad Audiences“, Proceedings of the Workshop on Technology and Consumer Protection (ConPro’22), 2022. Best Paper Runner Up.
M. T. Paracha, D. Dubois, N. Vallina-Rodriguez, D. Choffnes, “IoTLS: Understanding TLS Usage in Consumer IoT Devices“, Proceedings of the Internet Measurement Conference (IMC), 2021.
A. M. Mandalari, D. Dubois, R. Kolcun, M. T. Paracha, H. Haddadi, D. Choffnes, “Blocking without Breaking: Identification and Mitigation of Non-Essential IoT Traffic“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2021.
L. Kaplan, A. Mislove, P. Sapiezynski, “Measuring Biases in a Data Broker’s Coverage“, poster to appear in Proceedings of the Internet Measurement Conference (IMC), 2021.
S.J. Saidi, A.M. Mandalari, H. Haddadi, D. Dubois, D. Choffnes, G. Smaragdakis, and A. Feldmann “Detecting consumer IoT devices through the lens of an ISP“, Proceedings of the Applied Networking Research Workshop (ANRW), 2021.
J. Gunawan, D. Choffnes, W. Hartzog, and C. Wilson, “A Comparative Study of Dark Patterns Across Web and Mobile Modalities“, Proceedings of the ACM on Human-Computer Interaction (CSCW2), 2021.
M. Ali, P. Sapiezynski, A. Korolova, A. Mislove, A. Rieke, “Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging“, Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM), 2021.
J. Zhang, Q. Wu, Y. Xu, C. Cao, Z. Du, and K. Psounis, “Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models”, Proceedings of the AAAI Conference on Artificial Intelligence, 2024.
H. Saleem, A. Ziashahabi, M. Naveed, and S. Avestimehr, “Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation,” Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2024.
J. Zhao, A. Sharma, A. Elkordy, Y. Ezzeldin, S. Avestimehr, and S. Bagchi, “LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation“, Proceedings of the IEEE Symposium on Security and Privacy (SP), 2024.
E. Bakopoulou, M. Yang, J. Zhang, K. Psounis, and A. Markopoulou, “Location Leakage in Federated Signal Maps”, Proceedings of the IEEE Transactions on Mobile Computing, Oct. 2023.
J. Zhang, H. Askari, K. Psounis, and Z. Shafiq, “A Utility-Preserving Obfuscation Approach for YouTube Recommendations”, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
A. Elkordy, J. Zhang, Y. Ezzeldin, K. Psounis, and S. Avestimehr, “How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?“, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
S. Lee, T. Zhang, and S. Avestimehrfra, “Layer-wise Adaptive Model Aggregation for Scalable Federated Learning”, Proceedings of the AAAI Conference on Artificial Intelligence, 2023.
J.C. Zhao, A.R. Elkordy, A. Sharma, Y.H. Ezzeldin, S. Avestimehr, S. Bagchi, “The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
E. Alimpertis, A. Markopoulou, Carter T. Butts, E. Bakopoulou, and K. Psounis, “A Unified Prediction Framework for Signal Maps: Not All Measurements are Created Equal“, Proceedings of IEEE Transactions on Mobile Computing, 2022.
M. Juarez, and A. Korolova, ““You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning“, Proceedings of Machine Learning Research (PMLR). In the Algorithmic Fairness through the Lens of Causality and Privacy Workshop (NeurIPS), 2022.
B. Imana, A. Korolova, and J. Heidemann, “Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest“, Proceedings of ACM Conference on Computer-Supported Cooperative Work And Social Computing (CSCW), 2023.
J. Zhang, K. Psounis, M. Haroon, Z. Shafiq, “HARPO: Learning to Subvert Online Behavioral Advertising“, Proceedings of Network and Distributed System Security Symposium (NDSS), 2022.
B. Imana, A. Korolova, J. Heidemann, “Auditing for Discrimination in Algorithms Delivering Job Ads“, Proceedings of The Web Conference (WWW), 2021. Best Student Paper Runner Up.
M. Ali, P. Sapiezynski, A. Korolova, A. Mislove, A. Rieke, “Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging“, Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM), 2021.
M. Luu, M. Ferland, V. Nagaraj Rao, A. Arushi, R. Huynh, F. Reiber, J. Wong-Ma, and M. Shindler, “What is an Algorithms Course?: Survey Results of Introductory Undergraduate Algorithms Courses in the U.S.”, Proceedings of the 54th ACM Technical Symposium on Computer Science Education (SIGCSE), 2023.
V. Rao, and A. Korolova, “Discrimination through Image Selection by Job Advertisers on Facebook”, Proceedings of ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2023.
B. Imana, A. Korolova, and J. Heidemann, “Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest“, Proceedings of ACM Conference on Computer-Supported Cooperative Work And Social Computing (CSCW), 2023.
V. Rao, and A. Korolova, “An Audit of Images Used by Job Advertisers on Facebook, with Implications to Transparency Desiderata“, poster presented at the 2nd ACM Conference on Equity and Access in Algorithms, Mechanism, and Optimization (EAAMO), 2022.
Cross-Institutions
U. Iqbal, P. N Bahrami, R. Trimananda, H. Cui, A. Gamero-Garrido, D. Dubois, D. Choffnes, A. Markopoulou, F. Roesner, and Z. Shafiq, “Tracking, Profiling, and Ad Targeting in the Alexa Echo Smart Speaker Ecosystem“, Proceedings of the ACM Internet Measurement Conference (IMC), 2023. Best Paper Award.
E. Bakopoulou, M. Yang, J. Zhang, K. Psounis, and A. Markopoulou, “Location Leakage in Federated Signal Maps”, Proceedings of the IEEE Transactions on Mobile Computing, Oct. 2023.
W. Hartzog, S. Jordan, D. Choffnes, A. Markopoulou, and Z. Shafiq, “A Scientific Approach to Tech Accountability”, presented at the Beyond the FTC: The Future of Privacy Enforcement Symposium, Harvard Law School, Boston, March 2023. Invited paper to appear in the Harvard Journal of Law and Technology (JoLT).
H. Le, S. Elmalaki, A. Markopoulou, Z. Shafiq, “AutoFR: Automated Filter Rule Generation for Adblocking”, Proceedings of USENIX Security, 2023.
J. Zhang, H. Askari, K. Psounis, and Z. Shafiq, “A Utility-Preserving Obfuscation Approach for YouTube Recommendations”, Proceedings of Privacy Enhancing Technologies Symposium (PETS/PoPETs), 2023.
E. Alimpertis, A. Markopoulou, Carter T. Butts, E. Bakopoulou, and K. Psounis, “A Unified Prediction Framework for Signal Maps: Not All Measurements are Created Equal“, Proceedings of IEEE Transactions on Mobile Computing, 2022.
B. Imana, A. Korolova, and J. Heidemann, “Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest“, Proceedings of ACM Conference on Computer-Supported Cooperative Work And Social Computing (CSCW), 2023.
J. Zhang, K. Psounis, M. Haroon, Z. Shafiq, “HARPO: Learning to Subvert Online Behavioral Advertising“, Proceedings of Network and Distributed System Security Symposium (NDSS), 2022.
M. Ali, P. Sapiezynski, A. Korolova, A. Mislove, A. Rieke, “Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging“, Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM), 2021.
H. Le, A. Markopoulou, Z. Shafiq, “CV-Inspector: Towards Automating Detection of Adblock Circumvention“, Proceedings of Network and Distributed System Security Symposium (NDSS), February 2021. Acceptance rate ~15.2%.