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