3 papers
cs.LG2026
Kurtosis-Guided Denoising Score Matching for Tabular Anomaly Detection
Victor Livernoche, Jie Zan, Reihaneh Rabbany
Denoising score matching (DSM) provides a way to learn data distributions by training a neural network to recover the score function, defined as the gradient of the log density, fr…
cs.SI2025
Deepfakes in the 2025 Canadian Election: Prevalence, Partisanship, and Platform Dynamics
Victor Livernoche, Andreea Musulan, Zachary Yang +2
Concerns about AI-generated political content are growing, yet there is limited empirical evidence on how deepfakes actually appear and circulate across social platforms during maj…
cs.CV2025
OpenFake: An Open Dataset and Platform Toward Real-World Deepfake Detection
Victor Livernoche, Akshatha Arodi, Andreea Musulan +5
Deepfakes, synthetic media created using advanced AI techniques, pose a growing threat to information integrity, particularly in politically sensitive contexts. This challenge is a…