129 citations · 742 across the 38 of their papers we have counts for
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cs.LG2021
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…
cs.LG2018★ 16 cited
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…