12 citations · 20 across the 5 of their papers we have counts for
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cs.LG2022★ 12 cited
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective
Bohang Zhang, Du Jiang, Di He +1
Designing neural networks with bounded Lipschitz constant is a promising way to obtain certifiably robust classifiers against adversarial examples. However, the relevant progress f…
cs.LG2021★ 6 cited
Boosting the Certified Robustness of L-infinity Distance Nets
Bohang Zhang, Du Jiang, Di He +1
Recently, Zhang et al. (2021) developed a new neural network architecture based on -distance functions, which naturally possesses certified robustness by…