School of Informatics,
University of Edinburgh
10 Crichton St
I am a Lecturer in Cyber Security and Privacy in the University of Edinburgh’s School of Informatics. Within the school, I am a member of the Security, Privacy, and Trust group (SecPrivTru).
I joined the University of Edinburgh as a faculty member!
I presented our new work on Privately Measuring Demographic Performance Disparities in Federated Learning. See tweet.
My research topics and a sample of relevant work:
ML-Based Traffic Analysis: the development and evaluation of traffic analysis defenses from both a practical and theoretical point of view.
S. Siby, M. Juarez, C. Diaz, N. Vallina-Rodriguez, and C. Troncoso. "Encrypted DNS ⇒Privacy? A Traffic Analysis Perspective." NDSS, 2020.
Security and Privacy of ML: the design of methods to audit privacy and security of ML models, and the development of privacy-aware ML techniques.
M. Juarez, S. Yeom, and M. Fredrikson. "Black-Box Audits for Group Distribution Shifts." arXiv pre-print, 2022.
Privacy and Fairness: the privacy challenges that arise from identifying and mitigating algorithmic bias.
M. Juarez, and A. Korolova. "'You Can’t Fix What You Can’t Measure': Privately Measuring Demographic Performance Disparities in Federated Learning." Proceedings of the Algorithmic Fairness through the Lens of Causality and Privacy Workshop (NeurIPS), 2022.