401 citations · 417 across the 4 of their papers we have counts for
4 papers
TsallisPGD: Adaptive Gradient Weighting for Adversarial Attacks on Semantic Segmentation
Alexander Matyasko, Xin Lou, Indriyati Atmosukarto +1
Attacking semantic segmentation models is significantly harder than image classification models because an attacker must flip thousands of pixel predictions simultaneously. Standar…
PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack
Alexander Matyasko, Lap-Pui Chau
State-of-the-art deep neural networks are sensitive to small input perturbations. Since the discovery of this intriguing vulnerability, many defence methods have been proposed that…
Improved Network Robustness with Adversary Critic
Alexander Matyasko, Lap-Pui Chau
Ideally, what confuses neural network should be confusing to humans. However, recent experiments have shown that small, imperceptible perturbations can change the network predictio…
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
Nicolas Papernot, Fartash Faghri, Nicholas Carlini +23
CleverHans is a software library that provides standardized reference implementations of adversarial example construction techniques and adversarial training. The library may be us…