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 interests are at the intersection of machine learning, security, and cyber-physical systems. Currently, my research focus is on the application of anomaly detection to industrial control systems. Some of my past research projects investigated new 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.
Email : clementf [at] andrew [dot] cmu [dot] edu
Physical : CIC 2223B