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2002.11242
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Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
International Conference on Machine Learning (ICML), 2020
26 February 2020
Jingfeng Zhang
Xilie Xu
Bo Han
Gang Niu
Li-zhen Cui
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
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Papers citing
"Attacks Which Do Not Kill Training Make Adversarial Learning Stronger"
50 / 254 papers shown
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193
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Parameter Interpolation Adversarial Training for Robust Image Classification
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Xin Liu
Yichen Yang
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John E. Hopcroft
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185
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C-LEAD: Contrastive Learning for Enhanced Adversarial Defense
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Arijit Sur
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182
1
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Generalist++: A Meta-learning Framework for Mitigating Trade-off in Adversarial Training
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Yichuan Mo
Hongjun Wang
Junyi Li
Zhouchen Lin
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178
2
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15 Oct 2025
Test-Time Defense Against Adversarial Attacks via Stochastic Resonance of Latent Ensembles
Dong Lao
Yuxiang Zhang
Haniyeh Ehsani Oskouie
Yangchao Wu
Alex Wong
Stefano Soatto
AAML
204
0
0
03 Oct 2025
Nearest Neighbor Projection Removal Adversarial Training
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A. V. Subramanyam
Shivank Rajput
Mohan Kankanhalli
AAML
244
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0
09 Sep 2025
Robustness Feature Adapter for Efficient Adversarial Training
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Jun Guo
Wei Wang
Yi Alice Wang
AAML
169
1
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25 Aug 2025
AdaGAT: Adaptive Guidance Adversarial Training for the Robustness of Deep Neural Networks
Zhenyu Liu
H. Liang
Xinrun Li
V. Snás̃el
Varun Ojha
AAML
162
0
0
24 Aug 2025
ProARD: progressive adversarial robustness distillation: provide wide range of robust students
Seyedhamidreza Mousavi
Seyedali Mousavi
Masoud Daneshtalab
AAML
313
0
0
09 Jun 2025
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
Jie Bao
Chuangyin Dang
Rui Luo
Hanwei Zhang
Zhixin Zhou
AAML
371
7
0
09 Jun 2025
D2R: dual regularization loss with collaborative adversarial generation for model robustness
International Conference on Artificial Neural Networks (ICANN), 2025
Zhenyu Liu
H. Liang
R. Ranjan
Zhanxing Zhu
V. Snás̃el
Varun Ojha
167
2
0
08 Jun 2025
Understanding Adversarial Training with Energy-based Models
Mujtaba Hussain Mirza
Maria Rosaria Briglia
Filippo Bartolucci
Senad Beadini
G. Lisanti
I. Masi
AAML
347
1
0
28 May 2025
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan
Huilin Yin
AAML
370
1
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Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better
MingWei Zhou
Xiaobing Pei
AAML
938
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0
30 Mar 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
Mohamed Djilani
Salah Ghamizi
Maxime Cordy
555
1
0
30 Dec 2024
Sustainable Self-evolution Adversarial Training
ACM Multimedia (MM), 2024
Wenxuan Wang
Chenglei Wang
Huihui Qi
Menghao Ye
Xuelin Qian
Peng Wang
Yanning Zhang
AAML
447
0
0
03 Dec 2024
Adversarial Training in Low-Label Regimes with Margin-Based Interpolation
Tian Ye
Rajgopal Kannan
Viktor Prasanna
AAML
332
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27 Nov 2024
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Tejaswini Medi
Steffen Jung
Margret Keuper
AAML
488
5
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30 Oct 2024
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
342
13
0
19 Oct 2024
New Paradigm of Adversarial Training: Releasing Accuracy-Robustness Trade-Off via Dummy Class
Yijiao Wang
Li Liu
Zi Liang
Yi R.
Fung
Qingqing Ye
Haibo Hu
AAML
390
1
0
16 Oct 2024
ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection
Martin Aubard
László Antal
Ana Madureira
Luis F. Teixeira
Erika Ábrahám
AAML
264
2
0
14 Oct 2024
Adversarial Robustness Overestimation and Instability in TRADES
Jonathan Weiping Li
Ren-Wei Liang
Cheng-Han Yeh
Cheng-Chang Tsai
Kuanchun Yu
Chun-Shien Lu
Shang-Tse Chen
AAML
309
0
0
10 Oct 2024
SMLE: Safe Machine Learning via Embedded Overapproximation
AAAI Conference on Artificial Intelligence (AAAI), 2024
Matteo Francobaldi
Michele Lombardi
AAML
241
1
0
30 Sep 2024
TART: Boosting Clean Accuracy Through Tangent Direction Guided Adversarial Training
Bongsoo Yi
Rongjie Lai
Yao Li
AAML
243
0
0
27 Aug 2024
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks
Zhenyu Liu
Haoran Duan
Huizhi Liang
Yang Long
V. Snás̃el
G. Nicosia
R. Ranjan
Varun Ojha
AAML
218
3
0
23 Aug 2024
Adversarial Robustification via Text-to-Image Diffusion Models
Daewon Choi
Jongheon Jeong
Huiwon Jang
Jinwoo Shin
DiffM
442
2
0
26 Jul 2024
Shedding More Light on Robust Classifiers under the lens of Energy-based Models
Mujtaba Hussain Mirza
Maria Rosaria Briglia
Senad Beadini
I. Masi
AAML
481
10
0
08 Jul 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Yuanzheng Cai
Shaozi Li
Shaozi Li
AAML
610
2
0
04 Jul 2024
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness
Erh-Chung Chen
Pin-Yu Chen
I-Hsin Chung
Che-Rung Lee
343
4
0
28 Jun 2024
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization
Zhaozhe Hu
Jia-Li Yin
Bin Chen
Luojun Lin
Bo-Hao Chen
Ximeng Liu
AAML
353
1
0
20 Jun 2024
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Junwei Wu
Guoqing Yang
Shaozi Li
Shaozi Li
AAML
286
1
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17 Jun 2024
ASAM: Boosting Segment Anything Model with Adversarial Tuning
Bo Li
Haoke Xiao
Lv Tang
336
24
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01 May 2024
On adversarial training and the 1 Nearest Neighbor classifier
Amir Hagai
Yair Weiss
AAML
345
0
0
09 Apr 2024
Machine Learning Robustness: A Primer
Houssem Ben Braiek
Foutse Khomh
AAML
OOD
585
23
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01 Apr 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models
Yiwei Zhou
Xiaobo Xia
Zhiwei Lin
Bo Han
Tongliang Liu
VLM
219
36
0
21 Mar 2024
ADAPT to Robustify Prompt Tuning Vision Transformers
Masih Eskandar
Tooba Imtiaz
Zifeng Wang
Jennifer Dy
VPVLM
VLM
AAML
482
0
0
19 Mar 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
Computer Vision and Pattern Recognition (CVPR), 2024
Linyu Tang
Lei Zhang
AAML
230
13
0
18 Mar 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
AAAI Conference on Artificial Intelligence (AAAI), 2024
Eric Xue
Yijiang Li
Haoyang Liu
Yifan Shen
Haohan Wang
Haohan Wang
DD
665
18
0
15 Mar 2024
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
Daniele Angioni
Christian Scano
Maura Pintor
Luca Oneto
Davide Anguita
Battista Biggio
Fabio Roli
AAML
399
6
0
27 Feb 2024
Distilling Adversarial Robustness Using Heterogeneous Teachers
Jieren Deng
A. Palmer
Rigel Mahmood
Ethan Rathbun
Jinbo Bi
Kaleel Mahmood
Derek Aguiar
AAML
272
4
0
23 Feb 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Futa Waseda
Ching-Chun Chang
Isao Echizen
AAML
549
3
0
22 Feb 2024
Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons
Zhenyu Liu
Garrett Gagnon
Swagath Venkataramani
Liu Liu
AAML
279
2
0
06 Feb 2024
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yue Xing
Xiaofeng Lin
Qifan Song
Yi Tian Xu
Belinda Zeng
Guang Cheng
SSL
276
0
0
26 Jan 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
International Conference on Learning Representations (ICLR), 2024
Shruthi Gowda
Bahram Zonooz
Elahe Arani
AAML
321
5
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Securing Recommender System via Cooperative Training
World wide web (Bussum) (WWW), 2023
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Chenwang Wu
Defu Lian
Enhong Chen
AAML
272
4
0
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DAFA: Distance-Aware Fair Adversarial Training
International Conference on Learning Representations (ICLR), 2024
Hyungyu Lee
Saehyung Lee
Hyemi Jang
Junsung Park
Ho Bae
Sungroh Yoon
272
12
0
23 Jan 2024
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts
International Conferences on Pattern Recognition and Artificial Intelligence (ICCPRAI), 2024
Kiyoon Kim
Shreyank N. Gowda
Panagiotis Eustratiadis
Antreas Antoniou
Robert B Fisher
429
2
0
21 Jan 2024
Robustness Against Adversarial Attacks via Learning Confined Adversarial Polytopes
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Shayan Mohajer Hamidi
Linfeng Ye
AAML
227
3
0
15 Jan 2024
Defenses in Adversarial Machine Learning: A Survey
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Shaokui Wei
Mingli Zhu
Meixi Zheng
Zihao Zhu
Ruotong Wang
Hongrui Chen
Danni Yuan
Li Liu
Qingshan Liu
AAML
355
31
0
13 Dec 2023
Topology-Preserving Adversarial Training
Xiaoyue Mi
Fan Tang
Yepeng Weng
Danding Wang
Juan Cao
Sheng Tang
Peng Li
Yang Liu
332
1
0
29 Nov 2023
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