2 papers
cs.LG2025
Understanding Adversarial Training with Energy-based Models
Mujtaba Hussain Mirza, Maria Rosaria Briglia, Filippo Bartolucci +3
We aim at using Energy-based Model (EBM) framework to better understand adversarial training (AT) in classifiers, and additionally to analyze the intrinsic generative capabilities…
cs.CV2024
Perturb, Attend, Detect and Localize (PADL): Robust Proactive Image Defense
Filippo Bartolucci, Iacopo Masi, Giuseppe Lisanti
Image manipulation detection and localization have received considerable attention from the research community given the blooming of Generative Models (GMs). Detection methods that…