137 citations · 266 across the 14 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 1 cited
Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer
Chen Zhu, Zheng Xu, Ali Shafahi +3
When large scale training data is available, one can obtain compact and accurate networks to be deployed in resource-constrained environments effectively through quantization and p…
cs.LG2020★ 2 cited
Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training
Zheng Xu, Ali Shafahi, Tom Goldstein
Adversarial training has proven to be effective in hardening networks against adversarial examples. However, the gained robustness is limited by network capacity and number of trai…
cs.LG2020★ 16 cited
Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates
Amin Ghiasi, Ali Shafahi, Tom Goldstein
To deflect adversarial attacks, a range of "certified" classifiers have been proposed. In addition to labeling an image, certified classifiers produce (when possible) a certificate…