21 citations · 46 across the 6 of their papers we have counts for
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cs.LG2020★ 7 cited
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks
Leo Schwinn, An Nguyen, René Raab +4
The vulnerability of deep neural networks to small and even imperceptible perturbations has become a central topic in deep learning research. Although several sophisticated defense…
cs.LG2020★ 5 cited
Towards Rapid and Robust Adversarial Training with One-Step Attacks
Leo Schwinn, René Raab, Björn Eskofier
Adversarial training is the most successful empirical method for increasing the robustness of neural networks against adversarial attacks. However, the most effective approaches, l…