20 citations · 123 across the 14 of their papers we have counts for
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cs.LG2021★ 20 cited
Salient ImageNet: How to discover spurious features in Deep Learning?
Sahil Singla, Soheil Feizi
Deep neural networks can be unreliable in the real world especially when they heavily use {\it spurious} features for their predictions. Focusing on image classifications, we defin…
cs.LG2021★ 11 cited
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Sahil Singla, Surbhi Singla, Soheil Feizi
Training convolutional neural networks (CNNs) with a strict Lipschitz constraint under the norm is useful for provable adversarial robustness, interpretable gradients and s…
cs.LG2021
Skew Orthogonal Convolutions
Sahil Singla, Soheil Feizi
Training convolutional neural networks with a Lipschitz constraint under the norm is useful for provable adversarial robustness, interpretable gradients, stable training, e…