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Confidence-Calibrated Adversarial Training: Generalizing to Unseen
  Attacks
v1v2v3v4 (latest)

Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks

14 October 2019
David Stutz
Matthias Hein
Bernt Schiele
    AAML
ArXiv (abs)PDFHTML

Papers citing "Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks"

4 / 4 papers shown
Title
Recent Advances in Large Margin Learning
Recent Advances in Large Margin LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yiwen Guo
Changshui Zhang
AAMLAI4CE
236
18
0
25 Mar 2021
Shaping Deep Feature Space towards Gaussian Mixture for Visual
  Classification
Shaping Deep Feature Space towards Gaussian Mixture for Visual ClassificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Weitao Wan
Jiansheng Chen
Cheng Yu
Tong Wu
Yuanyi Zhong
Ming-Hsuan Yang
116
9
0
18 Nov 2020
CAT: Customized Adversarial Training for Improved Robustness
CAT: Customized Adversarial Training for Improved RobustnessInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Minhao Cheng
Qi Lei
Pin-Yu Chen
Inderjit Dhillon
Cho-Jui Hsieh
OODAAML
161
125
0
17 Feb 2020
Adversarial Examples Improve Image Recognition
Adversarial Examples Improve Image RecognitionComputer Vision and Pattern Recognition (CVPR), 2019
Cihang Xie
Mingxing Tan
Boqing Gong
Jiang Wang
Alan Yuille
Quoc V. Le
AAML
323
606
0
21 Nov 2019
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