7 citations · 13 across the 6 of their papers we have counts for
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cs.LG2020★ 7 cited
Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation
Deniz Gurevin, Shanglin Zhou, Lynn Pepin +4
Network pruning is a widely used technique to reduce computation cost and model size for deep neural networks. However, the typical three-stage pipeline, i.e., training, pruning an…
cs.LG2020★ 4 cited
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples
Kaleel Mahmood, Deniz Gurevin, Marten van Dijk +1
Many defenses have recently been proposed at venues like NIPS, ICML, ICLR and CVPR. These defenses are mainly focused on mitigating white-box attacks. They do not properly examine…