Private Vertical Federated Inference for Time-Series
Lucas Fenaux*, Larris Xie*, Aditya Bang, Alex Zhang, Kevin Wilson, Florian Kerschbaum
arXiv 2026Under submission
Lucas Fenaux
Ph.D. Candidate at University of Waterloo
Department: Computer Science
Lab: Cryptography, Security, and Privacy (CrySP)
Supervisor: Florian Kerschbaum
Research Interests
Private and Secure Distributed Machine LearningFederated Learning SecurityWorld Model SecurityAdversarial Machine Learning
Recent Publications
View All →On the Trade-Off Between Transparency and Security in Adversarial Machine Learning
Lucas Fenaux, Christopher Srinivasa, Florian Kerschbaum
AAMAS 2026Accepted
Hammer and Anvil: Toward a Theory of Backdoors in Federated Learning
Lucas Fenaux, Zheng Wang, Jacob Yan, Nathan Chung, Florian Kerschbaum
arXiv 2025Under submission
* indicates co-first-authorship or equal contribution.