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2210.05118
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Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization
11 October 2022
Ziquan Liu
Antoni B. Chan
AAML
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Papers citing
"Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization"
7 / 7 papers shown
Title
TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability
Fengji Ma
Li Liu
Hei Victor Cheng
VLM
25
0
0
27 May 2024
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
Ziquan Liu
Yufei Cui
Yan Yan
Yi Tian Xu
Xiangyang Ji
Xue Liu
Antoni B. Chan
AAML
23
2
0
14 May 2024
ODAM: Gradient-based instance-specific visual explanations for object detection
Chenyang Zhao
Antoni B. Chan
FAtt
11
8
0
13 Apr 2023
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization
Ziquan Liu
Yi Tian Xu
Xiangyang Ji
Antoni B. Chan
AAML
13
17
0
20 Mar 2023
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
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
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
253
3,102
0
04 Nov 2016
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