337 citations · 361 across the 10 of their papers we have counts for
3 papers · 1 filter
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…
Exploring the Connection between Robust and Generative Models
Senad Beadini, Iacopo Masi
We offer a study that connects robust discriminative classifiers trained with adversarial training (AT) with generative modeling in the form of Energy-based Models (EBM). We do so…
Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training
Dorjan Hitaj, Giulio Pagnotta, Iacopo Masi +1
In this technical report, we evaluate the adversarial robustness of a very recent method called "Geometry-aware Instance-reweighted Adversarial Training"[7]. GAIRAT reports state-o…