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Edge Detectors Can Make Deep Convolutional Neural Networks More Robust

Edge Detectors Can Make Deep Convolutional Neural Networks More Robust

26 February 2024
Jin Ding
Jie-Chao Zhao
Yong-zhi Sun
Ping Tan
Jia-Wei Wang
Ji-en Ma
You-tong Fang
    AAML
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Papers citing "Edge Detectors Can Make Deep Convolutional Neural Networks More Robust"

4 / 4 papers shown
Title
A2: Efficient Automated Attacker for Boosting Adversarial Training
A2: Efficient Automated Attacker for Boosting Adversarial Training
Zhuoer Xu
Guanghui Zhu
Changhua Meng
Shiwen Cui
ZhenZhe Ying
Weiqiang Wang
GU Ming
Yihua Huang
AAML
29
13
0
07 Oct 2022
Part-Based Models Improve Adversarial Robustness
Part-Based Models Improve Adversarial Robustness
Chawin Sitawarin
Kornrapat Pongmala
Yizheng Chen
Nicholas Carlini
David A. Wagner
39
11
0
15 Sep 2022
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
B. Wen
Qian Wang
AAML
71
467
0
02 Feb 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,102
0
04 Nov 2016
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