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CAT: Customized Adversarial Training for Improved Robustness

CAT: Customized Adversarial Training for Improved Robustness

17 February 2020
Minhao Cheng
Qi Lei
Pin-Yu Chen
Inderjit Dhillon
Cho-Jui Hsieh
    OOD
    AAML
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Papers citing "CAT: Customized Adversarial Training for Improved Robustness"

15 / 15 papers shown
Title
Dynamic Guidance Adversarial Distillation with Enhanced Teacher
  Knowledge
Dynamic Guidance Adversarial Distillation with Enhanced Teacher Knowledge
Hyejin Park
Dongbo Min
AAML
31
2
0
03 Sep 2024
A Hybrid Training-time and Run-time Defense Against Adversarial Attacks
  in Modulation Classification
A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classification
Lu Zhang
S. Lambotharan
G. Zheng
G. Liao
Ambra Demontis
Fabio Roli
AAML
13
10
0
09 Jul 2024
Exploiting the Layered Intrinsic Dimensionality of Deep Models for
  Practical Adversarial Training
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training
Enes Altinisik
Safa Messaoud
H. Sencar
Hassan Sajjad
Sanjay Chawla
AAML
43
0
0
27 May 2024
Specification Overfitting in Artificial Intelligence
Specification Overfitting in Artificial Intelligence
Benjamin Roth
Pedro Henrique Luz de Araujo
Yuxi Xia
Saskia Kaltenbrunner
Christoph Korab
56
0
0
13 Mar 2024
Raising the Bar for Certified Adversarial Robustness with Diffusion
  Models
Raising the Bar for Certified Adversarial Robustness with Diffusion Models
Thomas Altstidl
David Dobre
Björn Eskofier
Gauthier Gidel
Leo Schwinn
DiffM
25
7
0
17 May 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive
  Smoothing
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing
Yatong Bai
Brendon G. Anderson
Aerin Kim
Somayeh Sojoudi
AAML
26
18
0
29 Jan 2023
A Data-Centric Approach for Improving Adversarial Training Through the
  Lens of Out-of-Distribution Detection
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection
Mohammad Azizmalayeri
Arman Zarei
Alireza Isavand
M. T. Manzuri
M. Rohban
OODD
32
0
0
25 Jan 2023
Strength-Adaptive Adversarial Training
Strength-Adaptive Adversarial Training
Chaojian Yu
Dawei Zhou
Li Shen
Jun Yu
Bo Han
Mingming Gong
Nannan Wang
Tongliang Liu
OOD
9
2
0
04 Oct 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
192
345
0
15 Dec 2021
AGKD-BML: Defense Against Adversarial Attack by Attention Guided
  Knowledge Distillation and Bi-directional Metric Learning
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning
Hong Wang
Yuefan Deng
Shinjae Yoo
Haibin Ling
Yuewei Lin
AAML
17
15
0
13 Aug 2021
Guided Interpolation for Adversarial Training
Guided Interpolation for Adversarial Training
Chen Chen
Jingfeng Zhang
Xilie Xu
Tianlei Hu
Gang Niu
Gang Chen
Masashi Sugiyama
AAML
8
10
0
15 Feb 2021
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial
  Robustness of Neural Networks
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks
Linhai Ma
Liang Liang
AAML
18
18
0
19 May 2020
Instance adaptive adversarial training: Improved accuracy tradeoffs in
  neural nets
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Yogesh Balaji
Tom Goldstein
Judy Hoffman
AAML
124
103
0
17 Oct 2019
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Minhao Cheng
Simranjit Singh
Patrick H. Chen
Pin-Yu Chen
Sijia Liu
Cho-Jui Hsieh
AAML
122
219
0
24 Sep 2019
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,109
0
04 Nov 2016
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