Evita Bakopoulou graduated in 2022 and now works at Google. Her research interests are primarily in the area of Machine Learning and Privacy, specifically in Federated Learning for Mobile Data Privacy. She was advised by Athina Markopoulou.

Hao Cui's current research interests include privacy policy and ads & tracking technology. He also has research experiences in image watermarking and adversarial attacks on computer vision systems. PhD student advised by Athina Markopoulou.

Jad Al Aaraj's research interests are in the areas of IoT privacy and networks. PhD student advised by Athina Markopoulou.

Janus Varmarken graduated in 2023 and joined Juniper Networks. He is interested in "anything ubiquitous computing", with a current focus on how smart home devices affect user privacy. He was advised by Athina Markopoulou.

Luca Baldesi's research interests are in the area of computer networks, IoT, graph theory, and machine learning. His expertise includes the design and development of communication systems, distributed algorithms, and embedded prototypes. He works closely with Athina Markopoulou.

Mengwei Yang's research interests are about federated learning, IoT, Privacy, and machine learning. PhD student advised by Athina Markopoulou.

Muhammad Talha Paracha's research explores the caveats of TLS deployment in different settings – such as the web, mobile and IoT devices. PhD student advised by David Choffnes.

Rahmadi Trimananda's research (and engineering) interests are an interesting combination of hardware (circuits and systems, VLSI designs, embedded systems, microcontrollers, microprocessors, etc.), and, more recently during his Ph.D. journey and beyond, software (software engineering, compilers, security, and privacy).  He works closely with Athina Markopoulou.

Renascence Tarafder Prapty's research interests are in the areas of network security, embedded system security, web security and privacy. PhD Student advised by Gene Tsudik.

Shuwen Sun's interests lie in systems and networking, with an emphasis on designing techniques and systems to improve performance, reliability, and security for end device users. His research centers around “enabling” and “auditing” functionality that can be offloaded to edge, cloud, or network provider for end systems. PhD student advised by David Choffnes.

Tianrui Hu's research interests include IoT security and privacy and network measurement. PhD student advised by David Choffnes.

Yu Duan’s research interests include data privacy, network science and machine learning. PhD student advised by Athina Markopoulou.

Abdul Haddi Amjad's research focuses on solving internet security and privacy problem using software engineering techniques. The main objective of his research is to overcome the limitations of privacy-enhancing technologies and create automated frameworks using software engineering techniques, such as automated fault localization. Amjad is a Ph.D student at Virginia Tech. His advisors are Muhammad Ali Gulzar at Virginia Tech and Zubair Shafiq at UC Davis.

Ali Muhammad is interested in identifying and mitigating instances of bias and discriminatory behavior in machine learning algorithms in the wild. He enjoys using methods at the intersection of internet measurement and applied machine learning to answer these questions. PhD student advised by Alan Mislove.

Basileal Imana's research interests broadly lie in studying privacy and algorithmic fairness properties of real-world systems on the Internet. He is currently focused on developing novel methods for auditing the fairness of algorithms used to deliver content on social media platforms without introducing new privacy risks to platforms and users. Postdoc Scholar advised by Aleksandra Korolova.

Hadi Askari currently is involved in 2 lines of research. The first is developing real-world interventions (for e.g bots on Twitter) to inform people whether their posts are compromising their privacy. The second is related to poisoning online Recommender systems that profile users based on privacy invasive tracking. PhD student advised by Zubair Shafiq.

Hieu Le graduated in 2023 and is now a postdoc at the University of Michigan, Ann Arbor in the Computer Science and Engineering department. His research interests include ads & tracking and privacy within the web and IoT space. Before joining Athina’s research group, Hieu Le’s industry experience included work relating to government contracts, high traffic sites, and technical consulting for UCI. He was advised by Athina Markopoulou.

Jake Smith is an undergraduate researcher advised by Zubair Shafiq. His research interests include network privacy and machine learning, with current work aiming to detect novel cookie matching end-points using graph based machine learning.

Johanna Gunawa's research spans privacy, consumer protections, and policy. At present, she is focusing on dark patterns and manipulative interfaces that erode user privacy, in the hopes of contributing to better regulation of these practices. PhD student advised by David Choffnes and Woodrow Hartzog.

Levi Kaplan's research involves studying the fairness of various algorithms and social networks, investigating their propensity for bias, discrimination, and other harms. This is accomplished through black-box auditing, among other techniques. PhD student advised by Alan Mislove.

Muhammad Haroon's research interests include privacy preservation in online tracking through offensive measures such as obfuscation. PhD student advised by Zubair Shafiq.

Namo Asavisanu's research interests are in the security and privacy aspects of distributed mobile systems (e.g., cooperative autonomous vehicles) and the privacy implications of consumer data brokers (as well as interesting ways to outsmart them!). PhD student advised by Konstantinos Psounis.

Piotr Sapiezynski's core work is auditing platforms and their algorithms for fairness and privacy. Together with his collaborators, they investigate systems that are optimized for corporate profit yet drive many aspects of our daily lives. All too often we find these systems have (possibly unintended but often predictable) side effects that bring harm to individuals and the society. He works closely with Alan Mislove.

Pouneh Nikkhah Bahrami conducts research on web privacy and security. Specifically, her research involves measuring the prevalence of problems, such as browser fingerprinting and developing automated approaches, using machine learning, to counter them. PhD student advised by Zubair Shafiq.

He was an undergraduate at UCI and helped with data evaluation for the CV-Inspector project, presented at NDSS 2021. He is currently pursuing a Masters degree in Computer Science at Brown University.

Shaoor Munir conducts research on ensuring online privacy and security by targeting new practices being employed by trackers and advertisers. Specifically, his current research revolves around using machine learning algorithms to identify misuse of first party cookies, separate out functional and tracking methods bundled together in script, and evaluating security of future replacements for third party cookies. PhD student advised by Zubair Shafiq.

Umar Iqbal graduated in 2021 and completed a two year postdoc at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. He is now an Assistant Professor at the Washington University in St. Louis. He researches web privacy and security with an aim to bring more transparency and control to the users. Specifically, he uses internet measurement techniques to audit and quantify malicious practices on the web and leverage …

Yash Vekaria's research interests include Security, Privacy and Machine Learning. His focus is towards making our web more secure and private with the use of ML-based techniques. He carries out web-based large-scale Internet measurements to study and improve the dynamics of web. PhD student advised by Zubair Shafiq.

Ercan Ozturk graduated in 2021 and is now a Research Scientist at WhatsApp and Meta. His research interest are in Applied Cryptography, Computer & Network Security, and Privacy. He was advised by Gene Tsudik.

Ivan De Oliveira Nunes graduated in 2021 and is now an Assistant Professor of Computing Security at the Rochester Institute of Technology. His research interests span the fields of Security & Privacy, Computer Networking, Embedded Systems, Applied Cryptography, and their intersections. He was advised by Gene Tsudik.

Rahmadi Trimananda's research (and engineering) interests are an interesting combination of hardware (circuits and systems, VLSI designs, embedded systems, microcontrollers, microprocessors, etc.), and, more recently during his Ph.D. journey and beyond, software (software engineering, compilers, security, and privacy).  He works closely with Athina Markopoulou.

Renascence Tarafder Prapty's research interests are in the areas of network security, embedded system security, web security and privacy. PhD Student advised by Gene Tsudik.

Sashidhar Jakkamsetti graduated in 2023 and is now a researcher at Bosch Labs. His research interests are in Embedded Systems Security. In particular, Sashi designs hardware/software co-design architectures to enable root-of-trust and related services for resource-constrained IoT devices. He also works on privacy-preserving technologies using applied cryptography (MPC) and secure hardware (TEE). He was advised by Gene Tsudik.

Yoshimichi Nakatsuka graduated in 2023 and is now a postdoc at ETH Zurich. His research interests lie at the intersection of Web security / privacy and Confidential Computing. Through his research, he aims to build secure and private systems that protect our data from malicious parties. He was advised by Gene Tsudik.

Alexander Gamero-Garrido completed a postdoc at Northeastern University and is now an Assistant Professor of Computer Science at the University of California, Davis. His interests lie at the intersection of computer network measurements, cybersecurity and technology policy. In particular, his dissertation studies the networking ports of entry for international Internet traffic flowing towards entire countries. Most recently we've inferred the most influential autonomous systems (AS) in many countries, those with the highest capability to observe …

Hao Cui's current research interests include privacy policy and ads & tracking technology. He also has research experiences in image watermarking and adversarial attacks on computer vision systems. PhD student advised by Athina Markopoulou.

She was an undergraduate at UCI and a co-author of OVRseen: Auditing Network Traffic and Privacy Policies in Oculus VR being presented at USENIX 2022. She now works at Apple as a software engineer, on the System Intelligence & Machine Learning (SIML) team.

Landyn Sparacino's research interests are in the areas of privacy policies and network analysis. She is currently providing support in the Frontier's work on PoliGraph. Undergraduate student researcher supervised by David Choffnes and currently working with PI Scott Jordan.

Olivia Figueira's research interests are in the areas of network privacy, policy, and machine learning. PhD student advised by Athina Markopoulou and Scott Jordan.

Rahmadi Trimananda's research (and engineering) interests are an interesting combination of hardware (circuits and systems, VLSI designs, embedded systems, microcontrollers, microprocessors, etc.), and, more recently during his Ph.D. journey and beyond, software (software engineering, compilers, security, and privacy).  He works closely with Athina Markopoulou.

Santiago Andrés Azcoitia's PhD aims at developing specific components to build a human-centric data economy. We are understanding the value chain in the data economy, increasing the transparency to data pricing, testing more efficient mechanisms to acquire data in SOTA marketplaces, and perform a more efficient value-based revenue distribution among data providers.

Ahmed Elkordy's research interest include privacy preserving, secure and efficient distributed machine learning at the edge. Specifically, Elkordy has been working towards filling the gap between the algorithmic advance of federated learning (FL) with secure model aggregation and its theoretical guarantees. He also has been working in developing efficient algorithms that ensure security against malicious behavior of adversarial users in both the serverless and server-based federated learning settings. PhD student …

Alexandr Tolstokorov's research interests lie broadly along distributed and decentralized machine learning, the data economy, data valuation and the ways to ensure privacy and transparency in such systems. His current work is in exploring the role of data valuation and the cost associated with it in federated data marketplaces. PhD Student advised by Nikolaos Laoutaris.

Baturalp Buyukates' research interests are in the areas of machine learning, distributed systems, communications, networks, and information theory. His current research focus is on secure, trustworthy, and verifiable federated learning, privacy-preserving machine learning, responsible data economics and valuation for machine learning and analytics, blockchain systems, and timely information exchange in distributed systems. In his research, Baturalp Buyukates utilizes tools and techniques from optimization, machine learning, statistics, applied cryptography, and information …

Evita Bakopoulou graduated in 2022 and now works at Google. Her research interests are primarily in the area of Machine Learning and Privacy, specifically in Federated Learning for Mobile Data Privacy. She was advised by Athina Markopoulou.

Ismat Jarin's research interests include Privacy and Machine Learning, specifically, designing defense mechanisms to secure Machine Learning as a Service (MLaaS) systems. Additionally, she is interested in Differential Privacy, Federated Learning, and Adversarial Machine learning. PhD student advised by Athina Markopoulou.

Mengwei Yang's research interests are about federated learning, IoT, Privacy, and machine learning. PhD student advised by Athina Markopoulou.

Tianyue Chu's research interests include Machine Learning and GNNs. Her primary goal is to employ ML-based approaches to prevent misinformation from spreading on the internet. PhD Student advised by Nikolaos Laoutaris.

Yahya Ezzeldin's research interest are on problems related to privacy and fairness in federated learning. His current work is on developing algorithms that allow for fair training in federated learning while still maintaining privacy guarantees to the system clients. He works closely with Salman Avestimehr.

Baturalp Buyukates' research interests are in the areas of machine learning, distributed systems, communications, networks, and information theory. His current research focus is on secure, trustworthy, and verifiable federated learning, privacy-preserving machine learning, responsible data economics and valuation for machine learning and analytics, blockchain systems, and timely information exchange in distributed systems. In his research, Baturalp Buyukates utilizes tools and techniques from optimization, machine learning, statistics, applied cryptography, and information and coding theories. He …

Devriş İşler is interested in data provenance (e.g., data ownership via watermarking) in data economy and creating new SoA techs by taking advantage of cryptography (e.g., MPC, FHE, SSE). Along the line, he is also doing some works on privacy (e.g., user perceptions, privacy policies). PhD Student advised by Nikolaos Laoutaris.

Seoyeon Hwang's research interests are in the area of Applied Cryptography for data privacy. She explored various cryptographic techniques, such as MPC, PSI, ZKP, HE, etc., and is also interested in genomic security and IoT security relevant to data privacy. PhD student advised by Gene Tsudik.

Syed Mahbub Hafiz explored Private Information Retrieval (PIR), a Privacy-Enhancing Cryptography-based Technology, to turn it from a theoretical construct to a useful tool in the privacy practitioners toolkit.

Yoshimichi Nakatsuka graduated in 2023 and is now a postdoc at ETH Zurich. His research interests lie at the intersection of Web security / privacy and Confidential Computing. Through his research, he aims to build secure and private systems that protect our data from malicious parties. He was advised by Gene Tsudik.

Alexander Gamero-Garrido completed a postdoc at Northeastern University and is now an Assistant Professor of Computer Science at the University of California, Davis. His interests lie at the intersection of computer network measurements, cybersecurity and technology policy. In particular, his dissertation studies the networking ports of entry for international Internet traffic flowing towards entire countries. Most recently we've inferred the most influential autonomous systems (AS) in many countries, those with the highest capability to observe …

Ali Muhammad is interested in identifying and mitigating instances of bias and discriminatory behavior in machine learning algorithms in the wild. He enjoys using methods at the intersection of internet measurement and applied machine learning to answer these questions. PhD student advised by Alan Mislove.

Andrew Searles' research is based in security and privacy, especially in relation to human behavior. He has interests throughout computer science from hardware to networks. Currently, he is working to publish a user study on CAPTCHAs, including the effects of bias on solving time. Please message him to discuss further research ideas/opportunities! PhD student advised by Gene Tsudik.

Daniel Dubois' current research focuses on understand the privacy implications of the Internet of Things.

Hadi Askari currently is involved in 2 lines of research. The first is developing real-world interventions (for e.g bots on Twitter) to inform people whether their posts are compromising their privacy. The second is related to poisoning online Recommender systems that profile users based on privacy invasive tracking. PhD student advised by Zubair Shafiq.

Hari Venugopalan's research interests broadly focus on privacy preserving fraud detection. On the one hand, while analyzing the user's behavior and environment provides strong signals to detect fraud, they can also be abused to invade user privacy. His research focuses on ML and systems that protect user privacy while not compromising other utilities such as fraud detection. PhD student advised by Zubair Shafiq.

Jonathan Chery's research is about privacy among underrepresented groups. PhD student advised by David Choffnes.

Luca Baldesi's research interests are in the area of computer networks, IoT, graph theory, and machine learning. His expertise includes the design and development of communication systems, distributed algorithms, and embedded prototypes. He works closely with Athina Markopoulou.

Rong Ching Chang studies political social behaviors online. How people reveal their political leanings and how to protect them from revealing. Who become radicalized over time, the echo chambers and polarization phenomenal on a cross platform manner. PhD student advised by Zubair Shafiq.

Santiago Andrés Azcoitia's PhD aims at developing specific components to build a human-centric data economy. We are understanding the value chain in the data economy, increasing the transparency to data pricing, testing more efficient mechanisms to acquire data in SOTA marketplaces, and perform a more efficient value-based revenue distribution among data providers.

Tianyue Chu's research interests include Machine Learning and GNNs. Her primary goal is to employ ML-based approaches to prevent misinformation from spreading on the internet. PhD Student advised by Nikolaos Laoutaris.

Youngil Kim's research interests are IoT security in general, discovering new vulnerabilities and countermeasures, and providing a way to improve security and privacy in embedded systems. PhD student advised by Gene Tsudik.