About Me

I am a 3rd 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 interests are at the intersection of machine learning, security, and systems. In the past, I was especially interested in attacks and defenses for multi-party machine learning systems such as Google's federated learning.

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 work terms across a wide variety of projects, from developing bioinformatics research tools to building online recommender systems infrastructure at scale with LinkedIn.

I'm the current maintainer of the Security and Privacy Conference Deadlines webpage.

Contact

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

Recent News

• 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 be serving as a PC member for FAccT '22!
• 09/2021 [Service]: Served as a conference volunteer at a couple of conferences: EuroS&P '21 and SOUPS '21. Sadly, they were both virtual. Hoping to volunteer and attend in person soon!
• 04/2021 [Paper]: "Towards a Lightweight, Hybrid Approach for Detecting DOM XSS Vulnerabilities with Machine Learning" at The Web Conference 2021!
• 12/2020 [Paper]: "Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning" accepted in IEEE Transactions on Parallel and Distributed Systems (TPDS)!
• 11/2020 [Misc]: I was interviewed on the Data Skeptic Podcast about my research in sybil attacks on federated learning. Very fun and cool experience!
• Older news

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