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MultiRobustBench: Benchmarking Robustness Against Multiple Attacks

MultiRobustBench: Benchmarking Robustness Against Multiple Attacks

21 February 2023
Sihui Dai
Saeed Mahloujifar
Chong Xiang
Vikash Sehwag
Pin-Yu Chen
Prateek Mittal
    AAML
    OOD
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Papers citing "MultiRobustBench: Benchmarking Robustness Against Multiple Attacks"

3 / 3 papers shown
Title
Exploring Architectural Ingredients of Adversarially Robust Deep Neural
  Networks
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang
Yisen Wang
S. Erfani
Quanquan Gu
James Bailey
Xingjun Ma
AAML
TPM
44
100
0
07 Oct 2021
Mind the box: $l_1$-APGD for sparse adversarial attacks on image
  classifiers
Mind the box: l1l_1l1​-APGD for sparse adversarial attacks on image classifiers
Francesco Croce
Matthias Hein
AAML
37
54
0
01 Mar 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
207
668
0
19 Oct 2020
1