About Me

I am a 4th year Societal Computing PhD student in the School of Computer Science at Carnegie Mellon University, advised by Lujo Bauer. I am a member of CyLab, the security and privacy institute at CMU.

My research focuses on problems at the intersection of machine learning, security, and cyber-physical systems. Currently, I am investigating novel applications of anomaly detection to industrial control systems. Some of my past research projects include (i) ML-based, client-side detection of DOM-XSS vulnerabilities and (ii) attacks and defenses for multi-party federated learning systems.

I finished my M.Sc. in computer science in 2018 at the University of British Columbia, where I was a member of the Networks, Systems and Security (NSS) Lab. I built systems for private and secure multi-party machine learning with Ivan Beschastnikh, to whom I owe a great deal.

Even more before that, I finished my B.A.Sc. Systems Design Engineering in 2016 at the University of Waterloo, where I spent several internships across a wide variety of projects, from developing bioinformatics research tools to building online recommender systems infrastructure at scale with LinkedIn.

I currently maintain the Security and Privacy Conference Deadlines webpage.

Contact

Email : clementf [at] andrew [dot] cmu [dot] edu
Physical : CIC 2223B

Recent News

• 02/2023 [Service]: Excited to serve as a PC member for FAccT '23!
• 10/2022 [Misc]: Presenting my research at the 2022 CyLab Partners Conference.
• 09/2022 [Misc]: Attending ESORICS 2022 in Copenhagen! Come say hi if you are here!
• 05/2022 [Paper]: "Perspectives from a Comprehensive Evaluation of Reconstruction-based Anomaly Detection in Industrial Control Systems" accepted at ESORICS 2022!
• 03/2022 [Service]: Honoured and excited to serve as a PC member for FAccT '22!
• Older news

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