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Instance adaptive adversarial training: Improved accuracy tradeoffs in
  neural nets

Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets

17 October 2019
Yogesh Balaji
Tom Goldstein
Judy Hoffman
    AAML
ArXivPDFHTML

Papers citing "Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets"

27 / 27 papers shown
Title
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
Yatong Bai
Brendon G. Anderson
Somayeh Sojoudi
AAML
27
2
0
26 Nov 2023
Randomized Adversarial Training via Taylor Expansion
Randomized Adversarial Training via Taylor Expansion
Gao Jin
Xinping Yi
Dengyu Wu
Ronghui Mu
Xiaowei Huang
AAML
44
34
0
19 Mar 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
33
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
35
0
0
25 Jan 2023
Learning Sample Reweighting for Accuracy and Adversarial Robustness
Learning Sample Reweighting for Accuracy and Adversarial Robustness
Chester Holtz
Tsui-Wei Weng
Gal Mishne
OOD
28
4
0
20 Oct 2022
Scaling Adversarial Training to Large Perturbation Bounds
Scaling Adversarial Training to Large Perturbation Bounds
Sravanti Addepalli
Samyak Jain
Gaurang Sriramanan
R. Venkatesh Babu
AAML
33
22
0
18 Oct 2022
Strength-Adaptive Adversarial Training
Strength-Adaptive Adversarial Training
Chaojian Yu
Dawei Zhou
Li Shen
Jun Yu
Bo Han
Biwei Huang
Nannan Wang
Tongliang Liu
OOD
17
2
0
04 Oct 2022
Universum-inspired Supervised Contrastive Learning
Universum-inspired Supervised Contrastive Learning
Aiyang Han
Chuanxing Geng
Songcan Chen
SSL
29
3
0
22 Apr 2022
Why adversarial training can hurt robust accuracy
Why adversarial training can hurt robust accuracy
Jacob Clarysse
Julia Hörrmann
Fanny Yang
AAML
13
18
0
03 Mar 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Tianyu Pang
Min-Bin Lin
Xiao Yang
Junyi Zhu
Shuicheng Yan
30
119
0
21 Feb 2022
Improving Robustness by Enhancing Weak Subnets
Improving Robustness by Enhancing Weak Subnets
Yong Guo
David Stutz
Bernt Schiele
AAML
27
15
0
30 Jan 2022
On the Impact of Hard Adversarial Instances on Overfitting in
  Adversarial Training
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
Chen Liu
Zhichao Huang
Mathieu Salzmann
Tong Zhang
Sabine Süsstrunk
AAML
23
13
0
14 Dec 2021
Black-box Adversarial Attacks on Commercial Speech Platforms with
  Minimal Information
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information
Baolin Zheng
Peipei Jiang
Qian Wang
Qi Li
Chao Shen
Cong Wang
Yunjie Ge
Qingyang Teng
Shenyi Zhang
AAML
18
69
0
19 Oct 2021
Calibrated Adversarial Training
Calibrated Adversarial Training
Tianjin Huang
Vlado Menkovski
Yulong Pei
Mykola Pechenizkiy
AAML
51
3
0
01 Oct 2021
Adversarial Training Helps Transfer Learning via Better Representations
Adversarial Training Helps Transfer Learning via Better Representations
Zhun Deng
Linjun Zhang
Kailas Vodrahalli
Kenji Kawaguchi
James Zou
GAN
36
52
0
18 Jun 2021
Vision Transformers are Robust Learners
Vision Transformers are Robust Learners
Sayak Paul
Pin-Yu Chen
ViT
28
304
0
17 May 2021
Adversarial Training is Not Ready for Robot Learning
Adversarial Training is Not Ready for Robot Learning
Mathias Lechner
Ramin Hasani
Radu Grosu
Daniela Rus
T. Henzinger
AAML
38
34
0
15 Mar 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A
  Survey for Machine Learning Security to Securing Machine Learning for CPS
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS
Felix O. Olowononi
D. Rawat
Chunmei Liu
34
132
0
14 Feb 2021
Recent Advances in Understanding Adversarial Robustness of Deep Neural
  Networks
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks
Tao Bai
Jinqi Luo
Jun Zhao
AAML
49
8
0
03 Nov 2020
Robust Optimization as Data Augmentation for Large-scale Graphs
Robust Optimization as Data Augmentation for Large-scale Graphs
Kezhi Kong
Bernard Ghanem
Mucong Ding
Zuxuan Wu
Chen Zhu
Guohao Li
Gavin Taylor
Tom Goldstein
106
74
0
19 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded
  Adversarial Examples
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Sven Gowal
Chongli Qin
J. Uesato
Timothy A. Mann
Pushmeet Kohli
AAML
17
323
0
07 Oct 2020
Adversarially Robust Neural Architectures
Adversarially Robust Neural Architectures
Minjing Dong
Yanxi Li
Yunhe Wang
Chang Xu
AAML
OOD
42
48
0
02 Sep 2020
Do Adversarially Robust ImageNet Models Transfer Better?
Do Adversarially Robust ImageNet Models Transfer Better?
Hadi Salman
Andrew Ilyas
Logan Engstrom
Ashish Kapoor
A. Madry
37
416
0
16 Jul 2020
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
26
18
0
19 May 2020
Adversarial Training against Location-Optimized Adversarial Patches
Adversarial Training against Location-Optimized Adversarial Patches
Sukrut Rao
David Stutz
Bernt Schiele
AAML
19
91
0
05 May 2020
CAT: Customized Adversarial Training for Improved Robustness
CAT: Customized Adversarial Training for Improved Robustness
Minhao Cheng
Qi Lei
Pin-Yu Chen
Inderjit Dhillon
Cho-Jui Hsieh
OOD
AAML
27
114
0
17 Feb 2020
Intriguing properties of adversarial training at scale
Intriguing properties of adversarial training at scale
Cihang Xie
Alan Yuille
AAML
13
68
0
10 Jun 2019
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