Talks

2024

Yang, M., Jarin, I., Buyukates, B., Avestimehr, S., Markopoulou, A. “Maverick-Aware Shapley Valuation for Client Selection in Federated Learning” (poster), IEEE International Symposium on Information Theory (ISIT), July 2024. 

Chu, T., Yang, M., Laoutaris, N., Markopoulou, A. “Information-Theoretical Bounds on Privacy Leakage in Pruned Federated Learning” (poster),  IEEE International Symposium on Information Theory (ISIT), July 2024.

Tsudik, G., “Hiding Your Size (or How to Conceal Input Size in Private Set Intersection Protocols)”, Summer School on real-world crypto and privacy 2024, Vodice, Croatia, June 2024.

Yang, M. “PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning”(poster), 2024 IAP UCI Workshop on the Future of AI and Cloud Computing Applications and Infrastructure, May 2024. 

Tsudik, G., “Compromise Detection & Avoidance for Low-End IoT Devices (Keynote)”, KTH Conference on Cyber Defense and Information Security (CDIS), Stockholm, May 2024.

Tsudik, G., “CAPTCHAs: What Are They Good for?”, CSE Distinguished Lecture Series, UC Riverside, May 2024.

Prapty R.T. “MADEA: Malware Detection Architecture for IoT using Traffic Analysis & Device Attestation” (poster), 2024 Women in Cybersecurity (WiCyS) National Conference, April 2024

Tsudik, G., “Towards Transparency of IoT Device Presence (Keynote), ELLIIT symposium and focus period on Security and Fault Tolerance of Cyber-Physical Systems, Lund, Sweden, April 2024.

Tsudik, G., “CAPTCHAs: What Are They Good For? (Keynote)”, International Conference on Applied Cryptography and Network Security (ACNS), Abu Dhabi, March 2024.

Tsudik, G., “Towards Transparency of IoT Device Presence”, Distinguished Lecture Series, Resilient Computing and Cybersecurity Center (RC3), KAUST, Saudi Arabia, February 2024.

Tsudik, G., “Towards Transparency of IoT Device Presence”, ECE Department Seminar, University of Arizona, February 2024.

Tsudik, G., “Building Trusted and Privacy-Aware IoT Devices (Keynote)”, International Symposium on Cybersecurity in Industry: Challenges, Opportunities, and Applications, Doha, Qatar, January 2024.

Woodrow Hartzog

“Two A.I. Truths and a Lie” (keynote), Lewis H. Gold ’62 Lecture on Ethics & Professional Responsibility, Villanova University Charles Widger School of Law, Philadelphia, PA, September 2024.

“Obscurity, Trust, and the Fallacy of No Privacy in Public”, Conference on Conceptions of Data Protection and Privacy, Max Planck Institute for the Study of Crime, Security, and the Law, Freiburg, Germany, July 2024.

“Of Bots, Devils and Joy”, International Association of Privacy Professionals (IAPP) Canada Privacy Symposium, Toronto, Canada, June 2024.

“The Nature of Privacy vs Data Protection” (discussant), The Future of Privacy and Data Protection Law: A Conversation Between Academics and Regulators, Royal Irish Academy, Dublin, Ireland, June 2024.

“The Great Scrape: The Clash Between AI Scraping and Privacy”, Privacy Law Scholars Conference, Georgetown University Law School, Washington, DC, May 2024.

“Against AI Half-Measures”, Privacy Law Scholars Conference, Georgetown University Law School, Washington, DC, May 2024.

“Against AI Half-Measures”, Workshop on Law and A.I., University of Tübingen, Tübingen, Germany, May 2024.

“Against Engagement”, Bocconi University, Milan, Italy, May 2024.

“Disloyal Design”, Tokyo Institute of Technology, Tokyo Japan, April 2024.

“Two A.I. Truths and a Lie”, University of North Carolina School of Law, Chapel Hill, NC, April 2024.

“The Case Against Normalizing Surveillance”, Paris Institute of Political Studies (SciencesPo), Paris, France, January 2024.

“Taking Scale Seriously in Technology Law”, Boston University School of Law, Boston, MA, January 2024.

S. Avestimehr, “Building a Decentralized Cloud for Generative AI” (Plenary Talk), 58th Annual Conference on Information Sciences and Systems, Princeton, NJ, March 2024.

Aleksandra Korolova

“Auditing for Racial Discrimination in the Delivery of Education Ads” (paper workshop), Privacy Law Scholars Conference (PLSC), Georgetown University Law Center, Washington D.C, May 2024.

S. Devic, A. Korolova, D. Kempe, and V. Sharan, “Stability and Multigroup Fairness in Ranking with Uncertain Predictions” (non-archival), at Symposium on the Foundations of Responsible Computing (FORC), June 2024.

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”(non-archival), at Symposium on the Foundations of Responsible Computing (FORC), June 2024.

“Lessons from Auditing the Hidden Societal Impacts of Ad Delivery Algorithms”, Cornell Tech Digital Life Seminar, New York, NY, May 2024. 

Briefing of NATO Parliamentary Assembly’s Political Committee (invited panelist), Princeton’s School of Public and International Affairs, Princeton, NJ, April 2024. 

Roundtable on Bias in Ad Delivery Algorithms (invited expert), Outten & Golden LLP and Cornell, 2024.

Others

B. Imana, “Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest” (virtual spotlight talk), at Privacy Regulation and Protection in Machine Learning Workshop at ICLR 2024, May 2024.


2023

Bahrami, P. “Tracking, Profiling, and Ad Targeting in the Alexa Echo Smart Speaker Ecosystem”, ACM Internet Measurement Conference (IMC), 2023, Montreal, Canada, October 2023.

Tsudik, G., “Caveat (IoT) Emptor: Privacy-Aware IoT Sensing and Actuation”, Workshop on Space Cybersecurity and Resilience, University of Colorado, Colorado Springs. November 2023.

Tsudik, G., “Caveat (IoT) Emptor: Privacy-Aware IoT Sensing and Actuation”, UTSA-TUD Cyber-AI Winter School, UT San Antonio, November 2023.

Tsudik, G., “Compromise/Malware Detection vs. Avoidance for Low-End Embedded/Smart/IoT Devices”, ECE Distinguished Seminar, UCLA, October 2023.

Le, H. “Towards Automatic Filter List Generation for Adblocking“, 2023 Ad-Filtering Dev Summit, Amsterdam, October 2023.

Tsudik, G., “Compromise/Malware Detection vs. Avoidance for Low-End Embedded/Smart/IoT Devices”, CS Distinguished Speaker Lecture, TU Delft, The Netherlands, September 2023.

Jordan, S. “The Economics of Privacy” (panelist), Research Conference on Communication, Information and Internet Policy (TPRC), September 2023.

Searles, A. “An Empirical Study & Evaluation of Modern CAPTCHAs“, USENIX Security Symposium, Anaheim, CA, August 2023.

Cui, H. “PoliGraph: Automated Privacy Policy Analysis using Knowledge Graphs”, USENIX Security Symposium, Anaheim, CA, August 2023.

Le, H. “AutoFR: Automated Filter Rule Generation for Adblocking“, USENIX Security Symposium, Anaheim, CA, August 2023.

Tsudik, G. “Compromise/Malware Detection vs. Avoidance for Low-End Embedded/Smart/IoT Device”, Keynote talk at IEEE Conference on Computer Communications and Networks (ICCCN), Honolulu, Hawaii, July 2023.

Tsudik, G. “Some Recent Advances in Security and Privacy for Low-End IoT/Embedded/Smart Devices” (instructor), PhD Summer School on Advanced Networking Systems, July 2022. https://netprog22.liparischool.it/ 

Zong, Z. “Privacy by Projection: Federated Population Density Estimation by Projecting on Random Features”, Privacy Enhancing Technologies Symposium 2023, Lausanne, Switzerland, July 2023.

Tsudik, G. “Securing Low-End IoT Devices against Bricking Attacks” (instructor), PhD Summer School on Real-World Crypto, June 2022. https://summerschool-croatia.cs.ru.nl/2022/schoolSpeakers.shtml 

Jordan, S. “Privacy: Combining CS Techniques with Legal Analysis” at the CTIC Ninth Roundtable Computer Science and Law, University of Pennsylvania Law School, Philadelphia, Pennsylvania, May 2023.

Tsudik, G. “CACTI: Captcha Avoidance via Client-side TEE Integration”, University of Wuerzburg, Distinguished Seminar, April 2023.

Tsudik, G. “CASU: Compromise Avoidance via Secure Update for Low-End Embedded Systems”, TU Darmstadt, ASSURED Workshop Talk, April 2023.

A. Markopolou, “A Tech-Policy Approach to Data Transparency”,  Keynote talk at USC-Amazon Center’s 2nd Annual Symposium, University of Southern California, Los Angeles, CA, April 2023 .

Nakatsuka, Y. “VICEROY: GDPR-/CCPA-compliant Enforcement of Verifiable Accountless Consumer Requests”, Network and Distributed System Security (NDSS) Symposium, San Diego, CA, February 2023.

Woodrow Hartzog

“Democracy and Trust” (panelist), International Workshop on Reimagining Democracy 2023 (iWORD), Harvard Kennedy School, Cambridge, MA, December 2023.

“Trustworthy Cybernetic Avatars: A Agenda for Law and Design” (keynote), Cybernetic Avatars and Digital Twin E3LSI Issue Deployment: First Symposium of the Moonshot R&D Project, Keio University (Mita Campus), Tokyo, Japan, November 2023.

“An Introduction to US Privacy Law”, Keio University (Shonan Fujisawa Campus), Tokyo, Japan, November 2023.

“Privacy and the OECD” (discussant), Workshop on Artificial Intelligence at Toyo University, Tokyo, Japan, November 2023. 

“Kafka in the Age of AI and the Futility of Privacy as Control”, Boston University Law Review Symposium, Boston University School of Law, Boston, MA, November, 2023.

“Regulating AI around the world” and “AI and Privacy” (panelist), Shaping AI for Just Futures International AI + Society Conference, Centre for Law, Technology and Society, University of Ottawa, Ottawa, Canada, October 2023.

“Taking Scale Seriously in Robotics and AI Law”, We Robot 12th Annual Conference on Robotics, Law & Policy, Boston University School of Law, Boston, MA, September 2023. Winner of the Ian Kerr Top Paper Award.

“The Case Against Normalizing Surveillance”, The Social Justice for Data Science Lecture Series, hosted by the Faculty of Computing and Data Sciences, Boston University, Boston, MA, September 2023.

“A Duty of Loyalty for Emotion Data”, Ethical and Legal Aspects on Human-Technology Interoperability and AI Processing of Emotional Data, University of Lapland, Rovaniemi, Finland, June 2023.

“A Concrete Proposal for Data Loyalty”, Sixteenth Annual Privacy Law Scholars Conference, Boulder, CO, June 2023.

“Duties of Data Loyalty and the Future of Data Protection” (panelist), Computers, Privacy, and Data Protection Conference, Brussels, Belgium, May 2023.

“A Model Statute for Data Loyalty” (panelist) , Beyond the FTC: The Future of Privacy Enforcement Symposium at Harvard Law School, Cambridge, MA, April 2023.

“A Scientific Approach to Tech Accountability” (panelist), Beyond the FTC: The Future of Privacy Enforcement Symposium at Harvard Law School, Cambridge, MA, April 2023.

“FARIAtalks: Processing of emotional data by AI for the good or dystopian nightmare?”, Finnish-American Research & Innovation Accelerator (FARIA) Webinar, University of Lapland, Finland, March 2023 (virtual)

“Privacy Nicks: How the Law Normalizes Surveillance”, Information Society Project at Yale Law School, New Haven, CT, February 2023.

“A Duty of Loyalty for Social Media Algorithms” (panelist), Regulating Social Media Algorithms, The Law and Technology Centre at The University of Hong Kong, Hong Kong, January 2023 (virtual).

Bahrami, P. “The Costs of Crossing the Line: Privacy Implications of Cross-Domain Script Interactions“, 2023 Ad-Filtering Dev Summit, Amsterdam, October 2023.

Amjad, A.H. “Demystifying the Mystery of Privacy-Invasive JS Functions“, 2023 Ad-Filtering Dev Summit, Amsterdam, October 2023.

Munir, S. “PURL: Safe and Effective Sanitization of Link Decoration“, 2023 Ad-Filtering Dev Summit, Amsterdam, October 2023.

Shafiq, Z. “A Utility-Preserving Obfuscation Approach for YouTube Recommendations”, Privacy Enhancing Technologies Symposium 2023, Lausanne, Switzerland, July 2023.

Amjad, A.H “Blocking JavaScript without Breaking the Web”, Privacy Enhancing Technologies Symposium 2023, Lausanne, Switzerland, July 2023.

Shafiq, Z. “A Scientific Approach to Tech Accountability“, Beyond the FTC: The Future of Privacy Enforcement Symposium, Harvard Law School, Boston MA, March 2023.

Hu, T. “BehavIoT: Measuring Smart Home IoT Behavior Using Network-Inferred Behavior Models”, ACM Internet Measurement Conference (IMC), 2023, Montreal, Canada, October 2023.

Ali, M. “Problematic Advertising and its Disparate Exposure on Facebook“, USENIX Security Symposium, Anaheim, CA, August 2023.

Gerzon, N. “Track You: A Deep Dive into Safety Alerts for Apple AirTags”, Privacy Enhancing Technologies Symposium 2023, Lausanne, Switzerland, July 2023.

Pradeep, A. “Not Your Average App: A Large-scale Privacy Analysis of Android Browsers”, Privacy Enhancing Technologies Symposium 2023, Lausanne, Switzerland, July 2023.

Gunawan, J. “Understanding Dark Patterns in Home IoT Devices”, CHI Conference on Human Factors in Computing Systems (CHI’ 23), Hamburg, Germany, April 2023.

Korolova, A., “Platform-supported Auditing of Social Media Algorithms”, Challenges in Operationalizing Responsible AI, Columbia University Business School, New York, NY, 2023. 

Korolova, A., Invited Speaker, Snap Privacy team, 2023.

S. Avestimehr, “How to Keep Federated Learning Relevant in the LLM Era?” (Keynote), International Workshop on Federated Learning for Distributed Data Mining (FL4DataMining) at the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Long Beach, CA, August 2023.

Elkordy, A “How Much Privacy Dpes Federated LEarning with Secure Aggregation Guarantee?”, Privacy Enhancing Technologies Symposium 2023, Lausanne, Switzerland, July 2023.

S. Avestimehr, “Federated Training of Large Models at the Resource Constrained Edge”, Keynote talk at MLSys Workshop on Federated Learning Systems, Miami, Florida, June 2023.  

S. Avestimehr, “How to Keep Federated Learning Relevant in the LLM Era?” Keynote at MLSys Workshop on Resource Constrained Edge, Miami, Florida, June 2023.

S. Avestimehr, “Collaborative Machine Learning: From Theory to Practice” (Distinguished Lecture), 2023 North American School of Information Theory, University of Pennsylvania, PA, June 2023.


2022

Iqbal, U. “Your Echos are Heard: Tracking, Profiling, and Ad Targeting in the Amazon Smart Speaker Ecosystem”, FTC’s 2022 PrivacyCon (presentation starts at 1:04:28), November 2022 (virtual).

Trimananda, R. “OVRSeen: Auditing Network Traffic and Privacy Policies in Oculus VR”, FTC’s 2022 PrivacyCon (presentation starts at 1:46:50), November 2022 (virtual).

Le, H. “AutoFR: Automated Filter Rule Generation for Adblocking“, 2021 Ad-Filtering Dev Summit, October 2022.

Trimananda, R. “OVRSeen: Auditing Network Traffic and Privacy Policies in Oculus VR”, USENIX Security Symposium, Boston, MA, August 2022.

De Oliveira Nunes, I. “GAROTA: Generalized Active Root-Of-Trust Architecture (for Tiny Embedded Devices)“, USENIX Security Symposium, Boston, MA, August 2022.

Varmarken, J. “FingerprinTV: Fingerprinting SmartTv Apps“, Privacy Enhancing Technologies Symposium 2022, Sydney, Australia, July 2022 (virtual).

Tsudik, G. “Looking Backwards (and Forwards): NSF Secure and Trustworthy Computing 20-Year Retrospective Panel Transcription” (panelist), NSF SaTC PI Meeting, June 2022.

Jakkamsetti, S. “Privacy-from-Birth: Protecting Sensed Data from Malicious Sensors with VERSA“, IEEE Symposium on Security and Privacy, San Francisco, CA, May 2022.

Markopoulou, A. “Location Leakage in Federated Signal Maps”, Information: Theory and Applications (ITA) Workshop, San Diego, CA, April 2022.

Munir, S. and Siby, S. “COOKIEGRAPH: Measuring and Countering First Party Tracking Cookies“, 2021 Ad-Filtering Dev Summit, October 2022 (virtual).

Iqbal, U. “Breaking Advertising and Tracking Request Chains“, 2021 Ad-Filtering Dev Summit, October 2022 (virtual).

Amjad, A.H. “What’s the next era of content blockers?“, 2021 Ad-Filtering Dev Summit, October 2022 (virtual).

Iqbal, U. “Khaleesi: Breaker of Advertising and Tracking Request Chains“, USENIX Security Symposium, Boston, MA, August 2022.

Siby, S. “WebGraph: Capturing Advertising and Tracking Information Flows for Robust Blocking“, USENIX Security Symposium, Boston, MA, August 2022.

Bahrami, P.N. “FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting“, Privacy Enhancing Technologies Symposium 2022, Sydney, Australia, July 2022 (virtual).

Woodrow Hartzog

“The Surprising Virtues of Data Loyalty”, George Washington University Law School IP Speaker Series, Washington, D.C., April 2022 (virtual).

“The Failure of the GDPR and Privacy’s Best Path Forward” (keynote), ISACA Sweden Spring Conference, Stockholm, Sweden, March 2022.

“Breached! Why Data Security Law Fails and How to Improve It” (keynote), Privacy + Security Forum Spring Academy, Washington, D.C., March 2022 (virtual).

“Breached! Why Data Security Law Fails and How to Improve It”, The Fletcher School at Tufts University, Sommerville, MA, March 2022.

“Legislating Data Privacy”, Notre Dame Law Review Reflections Data Privacy Symposium, Notre Dame Law School, South Bend, IN, March 2022 (virtual).

“Breached! Why Data Security Law Fails and How to Improve It”, Cyber Civilization Research Center, Keio University, Tokyo, Japan, March 2022 (virtual).

“New England as Silicon Valley’s Counterpart”, Symposium on Island as Platform: Interdisciplinary Discussion for Sustainable Society, Kyushu University, Fukuoka, Japan, March 2022 (virtual).

“The Surprising Virtues of Data Loyalty”, Future of Privacy Forum’s Privacy Papers for Policy Makers Symposium, Washington, D.C., February 2022 (virtual).

“Designing Privacy into Systems and Corporate Culture”, National Cybersecurity Alliance Data Privacy Week Event, January 2022 (virtual).

“Fireside Chat: What is Privacy? Foundational Privacy Conceptualizations” The Rise of Privacy Tech Data Privacy Week Event, January 2022 (virtual).

Others

Gunawan, J. “A Comparative Study of Dark Patterns Across Web and Mobile Modalities”, FTC’s 2022 PrivacyCon (presentation starts at 2:24:45), November 2022 (virtual).

Sapiezynski, P. “Measuring biases in a data broker’s coverage”, FTC’s 2022 PrivacyCon (presentation starts at 12:37), November 2022 (virtual).

Paracha, T., and Pradeep, A. “A Comparative Analysis of Certificate Pinning in Android & iOS“, ACM Internet Measurement Conference 2022, Nice, France, October 2022.

Kaplan, L. “Measurement and Analysis of Implied Identity in Ad Delivery Optimization“, ACM Internet Measurement Conference 2022, Nice, France, October 2022.

Pradeep, A. “Moby: A Blackout-resistant Anonymity Network for Mobile Devices”, Privacy Enhancing Technologies Symposium 2022, Sydney, Australia, July 2022.

Ali, M. “All Things Unequal: Measuring Disparity of Potentially Harmful Ads on Facebook”, Workshop on Technology and Consumer Protection (ConPro) 2022, San Francisco, CA, May 2022.

Sapiezynski, P. “Algorithms that “Don’t See Color”: Measuring Biases in Lookalike and Special Ad Audiences“, AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, Oxford, England, August 2022.

Aleksandra Korolova 

Platform Supported Auditing, LinkedIn Responsible AI Team, August 2022.

“Auditing the Hidden Societal Impacts of Ad Delivery Algorithms”, UCLA IPAM Workshop on Sex and Gender Bias in Data, July 2022.

“Towards Platform-Supported Auditing in Social Media for Public Interest”, Theory and Practice of Differential Privacy (TPDP 2022), July 2022.

“You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning “, Theory and Practice of Differential Privacy (TPDP 2022), July 2022.

“Platform-supported Auditing Of Social Media Algorithms For Public Interest” , Workshop on Interpretable Machine Learning in Natural and Social Science, Simons Institute, June 2022 (virtual).

“Limits of prediction or what can AI do and not do?” (panelist), Princeton CITP – State Center Workshop on Regulating Data-Driven Decision Making, June 2022.

“Auditing the Hidden Societal Impacts of Ad Delivery Algorithms”, MIT Disinformation Seminar Series, May 2022.

“You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning “, Annual Symposium of USC + Amazon Center on Secure and Trustworthy AI, April 2022.

“Data Privacy Research in the US”, Privacy Symposium Conference, April 2022.

Others

Juarez, M. ““You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning“, ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO’22), Arlington, VA, October 2022.

Zhang, J. “HARPO: Learning to Subvert Online Behavioral Advertising”, Network and Distributed System Security (NDSS) Symposium, San Diego, CA, April 2022.


2021

Markopoulou, A. “Location Leakage in Federated Signal Maps”, Google’s Federated Learning Workshop, November 2021 (virtual).

Markopoulou, A. “Auditing Network Traffic for Data Collection Practices” (keynote), 2021 WiOPt Conference, October 2021 (virtual).

Le, H. “Towards Automatic Generating and Testing of Filter Rules“, 2021 Ad Blocker Dev Summit, October 2021 (virtual).

Tsudik, G. “CACTI: Captcha Avoidance via Client-side TEE Integration“, IFCYBER Seminar Series: UNSW Institute for Cyber Security, August 2021 (virtual).

Varmarken, J. “Measuring Smart TV Advertising and Tracking”, AdTech panel at FTC’s 2021 PrivacyCon (presentation starts at 4:28:00), July 2021 (virtual).

Bahrami, P.N. “FP-Radar: Early Detection of New Browser Fingerprinting Techniques“, 2021 Ad Blocker Dev Summit, October 2021 (virtual).

Ngan, W.H. “Is ML-based browser fingerprinting detection robust to obfuscation?“, 2021 Ad Blocker Dev Summit, October 2021 (virtual).

Amjad, A.H. “TrackerSift: Untangling Mixed Tracking and Functional Web Resources“, 2021 Ad Blocker Dev Summit, October 2021 (virtual).

Shafiq, Z. “Characterizing Harms of Incentivized Advertising on Google Play“, FTC, February 2021 (virtual). 

Woodrow Hartzog

“Privacy, Equity, and Civil Rights” (panelist), National Telecommunications and Information Administration (NTIA) Listening Session, U.S. Department of Commerce, Washington, D.C., December 2021.

“Why Privacy Matters” (panelist),  Symposium, Washington University School of Law, St. Louis, MO, December 2021.

“It’s Not Always About Your Data”,  Arthur Cox Data Protection Leadership Forum, Dublin, Ireland, November 2021.

“The Future of Biometric Tech and Permission: Is it Possible” (panelist), University of Pennsylvania, Penn Wharton China Center & Annenberg School for Communication, September 2021 (virtual).

“if(goingToTurnEvil), {don’t();}: Creating Legal Rules for Robots” (organizer, presenter), We Robot 10th Annual Conference on Robotics, Law & Policy, University of Miami School of Law, Coral Gables, FL, September 2021.

“The Surprising Virtues of Data Loyalty” Information Society Project at Yale Law School, New Haven, CT, June 2021 (virtual).

“Privacy and Policy Responses to AI” (moderator and organizer) Legal and Ethical Issues in Artificial Intelligence, Roux Institute at Northeastern University, Portland, Maine, June 2021 (virtual).

“The Surprising Virtues of Data Loyalty” Fourteenth Annual Privacy Law Scholars Conference, Washington, D.C., June 2021 (virtual).

“The Case Against Facial Recognition” Ethics in Information Technology Group’s “Taming the Machines” public lecture series University of Hamburg, Hamburg, Germany, May 2021 (virtual).

“The Pathologies of Digital Consent” Conference on Consent and its Alternatives, Cordell Institute, Washington University at St. Louis, April 2021 (virtual).

“Facial Recognition” Sedona Conference Working Group 11, April 2021 (virtual).

“The Case Against Facial Recognition” (keynote) University of Padua, Padua, Italy, March 2021 (virtual).

A Duty of Loyalty for Privacy Law” Center for Information Technology Policy (CITP), Princeton University, Princeton, NJ, March 2021 (virtual).

“Privacy’s Blueprint” Birmingham Rotary Club, March 2021 (virtual).

“Privacy’s Blueprint” Northeastern University and Fudan University Seminar, March 2021 (virtual).

“Privacy’s Path Dependency” (panelist) Emory Law Journal’s Thrower Symposium, Personal Data Protection: How Technology Jeopardizes Privacy, Emory University, Atlanta, GA, February 2021 (virtual).

Alan Mislove

The Disinformation Black Box: Researching Social Media Data” (witness and provided testimony), the United States House Committee on Science, Space, and Technology Subcommittee on Investigations & Oversight, September 28, 2021 (virtual).

“Privacy and security threats in social network ad targeting and delivery”, MIT Computational Social Science (CSS) Seminar, April 2021.

“Privacy and Discrimination Threats in Social Network Ad Targeting and Delivery”, Virtual Seminar, Santa Fe Institute, February 2021 (virtual).

“Privacy and security threats in social network ad targeting and delivery”, AI Academic Symposium hosted by the Board of Governors of the Federal Reserve System, Washington, D.C., January 2021 (virtual).

“Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging”, Max Planck Intersectional Symposium on Computing and Society (C&S 2021) January 2021 (virtual).

Others

Gunawan, J. “A Comparative Study of Dark Patterns Across Web and Mobile Modalities“, ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2021), October 2021 (virtual).

Gunawan, J. “Dark Patterns Across Modalities”, What Are Dark Patterns and Why Are They Employed? panel at 2021 Bringing Dark Patterns to Light: An FTC Workshop, April 2021 (virtual).

Aleksandra Korolova

“Auditing the Hidden Societal Impacts of Ad Delivery Algorithms”, Google Workshop on Long-Term Dynamics for Responsible Recommendation Systems, November 2021

“Auditing for Discrimination in Algorithms Delivering Job Ads”, Federal Privacy R&D Interagency Working Group, August 2021

“Auditing for Discrimination in Algorithms Delivering Job Ads”, Office of Technology Research and Investigation Seminar, Federal Trade Commission, July 2021

“Auditing for Discrimination in Algorithms Delivering Job Ads”, Google Privacy Preserving Ads Ecosystem Workshop, May 2021.

Others

Imana, B. and Korolova, A. “Auditing for Bias in Algorithms Delivering Job Ads”, Privacy Law Scholars Conference, Georgetown University, Washington, D.C., June 2021

Imana, B. “Auditing for Discrimination in Algorithms Delivering Job Ads”, Algorithms panel at FTC’s 2021 PrivacyCon (presentation starts at 40:20), July 2021 (virtual).


2020

Tsudik, G. “Proofs or Remote Execution and Mitigation of TOCTOU Attacks” (keynote), Asia CCS 2020, Taipei, Taiwan, October 2020 (virtual).

Shafiq, Z. “Fingerprinting the Fingerprinters“, 2020 Ad Blocker Dev Summit, October 2020 (virtual).

Shafiq, Z. “The Next Frontier in Online Privacy” (keynote), 2020 SecWeb IEEE Euro S&P Workshop, September 2020 (virtual).

Shafiq, Z. “Cybersecurity Considerations in Flexible Demand Appliance Standards“, Workshop on Senate Bill 49 Flexible Demand Appliance Standards, California Energy Commission, December 2020 (virtual).

Woodrow Hartzog

“Limits and Challenges to AI and Privacy Regulation” (moderator) Electronic Privacy Information Center Advisory Board Member Symposium, Washington, D.C. , December 2020 (virtual).

“A Right to Obscurity” (commentator) Book Launch – The Right to Be Forgotten: A Canadian and Comparative Perspective, McGill University, Quebec, Canada, November 2020 (virtual).

“Privacy and Democracy” (moderator) Center for Law, Innovation and Creativity (CLIC) Annual Conference, Northeastern University, Boston, MA, October 2020 (virtual).

“Facial Recognition and Privacy” (panelist) International Association of Privacy Professionals KnowledgeNet, Northeastern University, Boston, MA, October 2020 (virtual).

Alan Mislove

“Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging”, Workshop on Security and Human Behavior (SHB’20), Cambridge, U.K. June 2020 (virtual).