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Pruning Adversarially Robust Neural Networks without Adversarial
  Examples

Pruning Adversarially Robust Neural Networks without Adversarial Examples

9 October 2022
T. Jian
Zifeng Wang
Yanzhi Wang
Jennifer Dy
Stratis Ioannidis
    AAML
    VLM
ArXivPDFHTML

Papers citing "Pruning Adversarially Robust Neural Networks without Adversarial Examples"

3 / 3 papers shown
Title
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models
Yoojin Jung
Byung Cheol Song
AAML
VLM
MQ
38
0
0
07 Apr 2025
SparCL: Sparse Continual Learning on the Edge
SparCL: Sparse Continual Learning on the Edge
Zifeng Wang
Zheng Zhan
Yifan Gong
Geng Yuan
Wei Niu
T. Jian
Bin Ren
Stratis Ioannidis
Yanzhi Wang
Jennifer Dy
CLL
63
59
0
20 Sep 2022
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
197
345
0
15 Dec 2021
1