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1910.08051
Cited By
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
17 October 2019
Yogesh Balaji
Tom Goldstein
Judy Hoffman
AAML
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Papers citing
"Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets"
50 / 61 papers shown
FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training
Yuyuan Li
Junjie Fang
Fengyuan Yu
Xichun Sheng
Tianyu Du
Xuyang Teng
Shaowei Jiang
Linbo Jiang
Jianan Lin
Chaochao Chen
MU
343
0
0
28 Nov 2025
A unified Bayesian framework for adversarial robustness
Pablo G. Arce
Roi Naveiro
David Ríos Insua
AAML
156
0
0
10 Oct 2025
Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Epsilon-Scheduling
Jonas Ngnawé
M. Heuillet
Sabyasachi Sahoo
Y. Pequignot
Ola Ahmad
Audrey Durand
Frédéric Precioso
Christian Gagné
AAML
219
0
0
27 Sep 2025
Conflict-Aware Adversarial Training
Zhiyu Xue
Haohan Wang
Yao Qin
Ramtin Pedarsani
AAML
371
1
0
21 Oct 2024
PUMA: margin-based data pruning
Javier Maroto
Pascal Frossard
AAML
316
1
0
10 May 2024
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification
Shuai Li
Xiaoguang Ma
Shancheng Jiang
Lu Meng
AAML
OOD
264
0
0
11 Mar 2024
Adaptive Adversarial Training Does Not Increase Recourse Costs
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Ian Hardy
Jayanth Yetukuri
Yang Liu
AAML
207
1
0
05 Sep 2023
Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet
Yunuo Xiong
Shujuan Liu
H. Xiong
AAML
154
0
0
03 Sep 2023
Enhancing Adversarial Training via Reweighting Optimization Trajectory
Tianjin Huang
Shiwei Liu
Tianlong Chen
Meng Fang
Lijuan Shen
Vlaod Menkovski
Lu Yin
Yulong Pei
Mykola Pechenizkiy
AAML
328
5
0
25 Jun 2023
CFA: Class-wise Calibrated Fair Adversarial Training
Computer Vision and Pattern Recognition (CVPR), 2023
Zeming Wei
Yifei Wang
Yiwen Guo
Yisen Wang
AAML
351
80
0
25 Mar 2023
Randomized Adversarial Training via Taylor Expansion
Computer Vision and Pattern Recognition (CVPR), 2023
Gao Jin
Xinping Yi
Dengyu Wu
Ronghui Mu
Xiaowei Huang
AAML
351
58
0
19 Mar 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing
SIAM Journal on Mathematics of Data Science (SIMODS), 2023
Yatong Bai
Brendon G. Anderson
Aerin Kim
Somayeh Sojoudi
AAML
469
24
0
29 Jan 2023
A3T: Accuracy Aware Adversarial Training
Machine-mediated learning (ML), 2022
Enes Altinisik
Safa Messaoud
Husrev Taha Sencar
Sanjay Chawla
366
7
0
29 Nov 2022
Learning Sample Reweighting for Accuracy and Adversarial Robustness
Chester Holtz
Tsui-Wei Weng
Zhengchao Wan
OOD
336
6
0
20 Oct 2022
Scaling Adversarial Training to Large Perturbation Bounds
European Conference on Computer Vision (ECCV), 2022
Sravanti Addepalli
Samyak Jain
Gaurang Sriramanan
R. Venkatesh Babu
AAML
396
27
0
18 Oct 2022
Strength-Adaptive Adversarial Training
Chaojian Yu
Dawei Zhou
Li Shen
Jun Yu
Bo Han
Biwei Huang
Nannan Wang
Tongliang Liu
OOD
249
5
0
04 Oct 2022
Improving Robustness with Adaptive Weight Decay
Neural Information Processing Systems (NeurIPS), 2022
Amin Ghiasi
Ali Shafahi
R. Ardekani
OOD
281
13
0
30 Sep 2022
Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception
Conference on Computer and Communications Security (CCS), 2022
Rui Duan
Zhe Qu
Shangqing Zhao
Leah Ding
Yao-Hong Liu
Zhuo Lu
AAML
276
10
0
26 Jul 2022
Certified Neural Network Watermarks with Randomized Smoothing
International Conference on Machine Learning (ICML), 2022
Arpit Bansal
Ping Yeh-Chiang
Michael J. Curry
R. Jain
Curtis Wigington
Varun Manjunatha
John P. Dickerson
Tom Goldstein
AAML
309
64
0
16 Jul 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
International Conference on Machine Learning (ICML), 2022
Junlin Wu
Yevgeniy Vorobeychik
280
24
0
21 Jun 2022
Towards Alternative Techniques for Improving Adversarial Robustness: Analysis of Adversarial Training at a Spectrum of Perturbations
Kaustubh Sridhar
Souradeep Dutta
Ramneet Kaur
James Weimer
O. Sokolsky
Insup Lee
AAML
223
4
0
13 Jun 2022
Fast Adversarial Training with Adaptive Step Size
IEEE Transactions on Image Processing (IEEE TIP), 2022
Zhichao Huang
Yanbo Fan
Chen Liu
Weizhong Zhang
Yong Zhang
Mathieu Salzmann
Sabine Süsstrunk
Jue Wang
AAML
199
48
0
06 Jun 2022
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection
Linhai Ma
Liang Liang
OOD
283
8
0
02 Jun 2022
Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification
Annals of Applied Statistics (AOAS), 2022
Jungeum Kim
Tianlin Li
OOD
AAML
163
3
0
20 May 2022
Universum-inspired Supervised Contrastive Learning
IEEE Transactions on Image Processing (IEEE TIP), 2022
Aiyang Han
Chuanxing Geng
Songcan Chen
SSL
273
9
0
22 Apr 2022
Why adversarial training can hurt robust accuracy
International Conference on Learning Representations (ICLR), 2022
Jacob Clarysse
Julia Hörrmann
Fanny Yang
AAML
309
22
0
03 Mar 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
International Conference on Machine Learning (ICML), 2022
Tianyu Pang
Min Lin
Xiao Yang
Junyi Zhu
Shuicheng Yan
555
163
0
21 Feb 2022
Improving Robustness by Enhancing Weak Subnets
European Conference on Computer Vision (ECCV), 2022
Yong Guo
David Stutz
Bernt Schiele
AAML
386
17
0
30 Jan 2022
Associative Adversarial Learning Based on Selective Attack
Runqi Wang
Xiaoyue Duan
Baochang Zhang
Shenjun Xue
Wentao Zhu
David Doermann
G. Guo
AAML
343
0
0
28 Dec 2021
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
Chen Liu
Zhichao Huang
Mathieu Salzmann
Tong Zhang
Sabine Süsstrunk
AAML
411
15
0
14 Dec 2021
Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach
A. Sarkar
Anirban Sarkar
Sowrya Gali
V. Balasubramanian
AAML
260
8
0
30 Oct 2021
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
235
90
0
19 Oct 2021
Calibrated Adversarial Training
Tianjin Huang
Vlado Menkovski
Yulong Pei
Mykola Pechenizkiy
AAML
254
3
0
01 Oct 2021
Adaptive perturbation adversarial training: based on reinforcement learning
Zhi-pin Nie
Ying Lin
Sp Ren
Lan Zhang
AAML
196
1
0
30 Aug 2021
Adversarial Training Helps Transfer Learning via Better Representations
Neural Information Processing Systems (NeurIPS), 2021
Zhun Deng
Linjun Zhang
Kailas Vodrahalli
Kenji Kawaguchi
James Zou
GAN
246
59
0
18 Jun 2021
Vision Transformers are Robust Learners
AAAI Conference on Artificial Intelligence (AAAI), 2021
Sayak Paul
Pin-Yu Chen
ViT
429
368
0
17 May 2021
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training
Machine-mediated learning (ML), 2021
Mohammad Azizmalayeri
M. Rohban
OOD
265
5
0
29 Mar 2021
THAT: Two Head Adversarial Training for Improving Robustness at Scale
Zuxuan Wu
Tom Goldstein
L. Davis
Ser-Nam Lim
AAML
GAN
147
1
0
25 Mar 2021
Adversarial Training is Not Ready for Robot Learning
IEEE International Conference on Robotics and Automation (ICRA), 2021
Mathias Lechner
Ramin Hasani
Radu Grosu
Daniela Rus
T. Henzinger
AAML
263
34
0
15 Mar 2021
Insta-RS: Instance-wise Randomized Smoothing for Improved Robustness and Accuracy
Chong Chen
Kezhi Kong
Peihong Yu
J. Luque
Tom Goldstein
Furong Huang
AAML
344
8
0
07 Mar 2021
Data Quality Matters For Adversarial Training: An Empirical Study
Chengyu Dong
Liyuan Liu
Jingbo Shang
AAML
221
12
0
15 Feb 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS
IEEE Communications Surveys and Tutorials (COMST), 2021
Felix O. Olowononi
D. Rawat
Chunmei Liu
372
171
0
14 Feb 2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
International Conference on Machine Learning (ICML), 2021
Wuxinlin Cheng
Chenhui Deng
Zhiqiang Zhao
Yaohui Cai
Zhiru Zhang
Zhuo Feng
AAML
370
22
0
07 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Tao Bai
Jinqi Luo
Jun Zhao
Bihan Wen
Qian Wang
AAML
646
611
0
02 Feb 2021
Understanding the Error in Evaluating Adversarial Robustness
Pengfei Xia
Wandi Qiao
Hongjing Niu
Bin Li
AAML
ELM
256
5
0
07 Jan 2021
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Weitao Wan
Jiansheng Chen
Cheng Yu
Tong Wu
Yuanyi Zhong
Ming-Hsuan Yang
196
13
0
18 Nov 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks
Tao Bai
Jinqi Luo
Jun Zhao
AAML
327
9
0
03 Nov 2020
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks
AAAI Conference on Artificial Intelligence (AAAI), 2020
Huimin Zeng
Chen Zhu
Tom Goldstein
Furong Huang
AAML
223
21
0
24 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs
Computer Vision and Pattern Recognition (CVPR), 2020
Kezhi Kong
Ge Li
Mucong Ding
Zuxuan Wu
Chen Zhu
Guohao Li
Gavin Taylor
Tom Goldstein
369
109
0
19 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Sven Gowal
Chongli Qin
J. Uesato
Timothy A. Mann
Pushmeet Kohli
AAML
617
367
0
07 Oct 2020
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