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2103.01946
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Fixing Data Augmentation to Improve Adversarial Robustness
2 March 2021
Sylvestre-Alvise Rebuffi
Sven Gowal
D. A. Calian
Florian Stimberg
Olivia Wiles
Timothy A. Mann
AAML
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Papers citing
"Fixing Data Augmentation to Improve Adversarial Robustness"
50 / 185 papers shown
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection
Federica Granese
Marco Romanelli
S. Garg
Pablo Piantanida
AAML
185
0
0
04 Feb 2023
Uncovering Adversarial Risks of Test-Time Adaptation
International Conference on Machine Learning (ICML), 2023
Tong Wu
Feiran Jia
Xiangyu Qi
Jiachen T. Wang
Vikash Sehwag
Saeed Mahloujifar
Prateek Mittal
AAML
TTA
372
11
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29 Jan 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
425
22
0
29 Jan 2023
Provable Unrestricted Adversarial Training without Compromise with Generalizability
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Lili Zhang
Ning Yang
Yanchao Sun
Philip S. Yu
AAML
279
6
0
22 Jan 2023
Phase-shifted Adversarial Training
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Yeachan Kim
Seongyeon Kim
Ihyeok Seo
Bonggun Shin
AAML
OOD
233
0
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12 Jan 2023
Beckman Defense
A. V. Subramanyam
OOD
AAML
329
0
0
04 Jan 2023
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks
Nikolaos Antoniou
Efthymios Georgiou
Alexandros Potamianos
AAML
211
5
0
15 Dec 2022
Generative Robust Classification
Xuwang Yin
TPM
132
0
0
14 Dec 2022
DISCO: Adversarial Defense with Local Implicit Functions
Neural Information Processing Systems (NeurIPS), 2022
Chih-Hui Ho
Nuno Vasconcelos
AAML
416
53
0
11 Dec 2022
Multiple Perturbation Attack: Attack Pixelwise Under Different
ℓ
p
\ell_p
ℓ
p
-norms For Better Adversarial Performance
Ngoc N. Tran
Anh Tuan Bui
Dinh Q. Phung
Trung Le
AAML
206
1
0
05 Dec 2022
Adversarial Rademacher Complexity of Deep Neural Networks
Jiancong Xiao
Yanbo Fan
Tian Ding
Zhimin Luo
AAML
160
26
0
27 Nov 2022
Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles
AAAI Conference on Artificial Intelligence (AAAI), 2022
Shengcai Liu
Fu Peng
Jiaheng Zhang
AAML
155
13
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23 Nov 2022
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
Computer Vision and Pattern Recognition (CVPR), 2022
Junhao Dong
Seyed-Mohsen Moosavi-Dezfooli
Jianhuang Lai
Xiaohua Xie
AAML
299
43
0
01 Nov 2022
Efficient and Effective Augmentation Strategy for Adversarial Training
Neural Information Processing Systems (NeurIPS), 2022
Sravanti Addepalli
Samyak Jain
R. Venkatesh Babu
AAML
218
70
0
27 Oct 2022
Adversarial Purification with the Manifold Hypothesis
AAAI Conference on Artificial Intelligence (AAAI), 2022
Zhaoyuan Yang
Zhiwei Xu
Jing Zhang
Leonid Sigal
Peter Tu
AAML
409
9
0
26 Oct 2022
Hindering Adversarial Attacks with Implicit Neural Representations
International Conference on Machine Learning (ICML), 2022
Andrei A. Rusu
D. A. Calian
Sven Gowal
R. Hadsell
AAML
350
5
0
22 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
313
24
0
18 Oct 2022
Robust Models are less Over-Confident
Neural Information Processing Systems (NeurIPS), 2022
Julia Grabinski
Paul Gavrikov
J. Keuper
Margret Keuper
AAML
260
32
0
12 Oct 2022
Stability Analysis and Generalization Bounds of Adversarial Training
Neural Information Processing Systems (NeurIPS), 2022
Jiancong Xiao
Yanbo Fan
Tian Ding
Jue Wang
Zhimin Luo
AAML
256
39
0
03 Oct 2022
DeltaBound Attack: Efficient decision-based attack in low queries regime
L. Rossi
AAML
184
0
0
01 Oct 2022
Improving Robustness with Adaptive Weight Decay
Neural Information Processing Systems (NeurIPS), 2022
Amin Ghiasi
Ali Shafahi
R. Ardekani
OOD
236
13
0
30 Sep 2022
Part-Based Models Improve Adversarial Robustness
International Conference on Learning Representations (ICLR), 2022
Chawin Sitawarin
Kornrapat Pongmala
Yizheng Chen
Nicholas Carlini
David Wagner
271
14
0
15 Sep 2022
Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning
International Conference on Machine Learning (ICML), 2022
Zhiyuan He
Yijun Yang
Pin-Yu Chen
Qiang Xu
Tsung-Yi Ho
AAML
241
9
0
31 Aug 2022
Constraining Representations Yields Models That Know What They Don't Know
International Conference on Learning Representations (ICLR), 2022
João Monteiro
Pau Rodríguez López
Pierre-Andre Noel
I. Laradji
David Vazquez
AAML
393
0
0
30 Aug 2022
Two Heads are Better than One: Robust Learning Meets Multi-branch Models
Dong Huang
Qi Bu
Yuhao Qing
Haowen Pi
Sen Wang
Zihan Fang
Heming Cui
Dong Huang
OOD
AAML
348
2
0
17 Aug 2022
A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design
Jialiang Sun
Wen Yao
Tingsong Jiang
Xiaoqian Chen
AAML
138
0
0
15 Aug 2022
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction
Machine Learning in Health Care (MLHC), 2022
Jiacheng Zhu
Jielin Qiu
Zhuolin Yang
Douglas Weber
M. Rosenberg
Emerson Liu
Yue Liu
Ding Zhao
OOD
184
13
0
02 Aug 2022
Attacking Adversarial Defences by Smoothing the Loss Landscape
Panagiotis Eustratiadis
Henry Gouk
Da Li
Timothy M. Hospedales
AAML
398
5
0
01 Aug 2022
Robust Trajectory Prediction against Adversarial Attacks
Conference on Robot Learning (CoRL), 2022
Yulong Cao
Danfei Xu
Xinshuo Weng
Zhuoqing Mao
Anima Anandkumar
Chaowei Xiao
Marco Pavone
AAML
210
41
0
29 Jul 2022
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
International Conference on Machine Learning (ICML), 2022
Sekitoshi Kanai
Shin'ya Yamaguchi
Masanori Yamada
Hiroshi Takahashi
Kentaro Ohno
Yasutoshi Ida
AAML
284
13
0
21 Jul 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing
Yijiang Pang
Boyang Liu
Jiayu Zhou
OOD
AAML
172
1
0
11 Jul 2022
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy
International Conference on Machine Learning (ICML), 2022
R. Olivier
Bhiksha Raj
AAML
204
9
0
08 Jul 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations
Computer Vision and Pattern Recognition (CVPR), 2022
Tianlong Chen
Peihao Wang
Zhiwen Fan
Zinan Lin
259
63
0
04 Jul 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method
International Conference on Machine Learning (ICML), 2022
Keiichiro Yamamura
Haruki Sato
Nariaki Tateiwa
Nozomi Hata
Toru Mitsutake
Issa Oe
Hiroki Ishikura
Katsuki Fujisawa
AAML
248
15
0
20 Jun 2022
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
International Conference on Machine Learning (ICML), 2022
Ruize Gao
Jiongxiao Wang
Kaiwen Zhou
Yifan Zhang
Binghui Xie
Gang Niu
Bo Han
James Cheng
AAML
216
19
0
15 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
150
4
0
13 Jun 2022
FACM: Intermediate Layer Still Retain Effective Features against Adversarial Examples
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
249
0
0
02 Jun 2022
Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction
IEEE International Conference on Computer Vision (ICCV), 2022
Ruochen Jiao
Xiangguo Liu
Takami Sato
Qi Alfred Chen
Qi Zhu
AAML
219
25
0
27 May 2022
Squeeze Training for Adversarial Robustness
International Conference on Learning Representations (ICLR), 2022
Qizhang Li
Yiwen Guo
W. Zuo
Hao Chen
OOD
247
18
0
23 May 2022
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models
Conference on Computer and Communications Security (CCS), 2022
Shawn Shan
Wen-Luan Ding
Emily Wenger
Haitao Zheng
Ben Y. Zhao
AAML
217
15
0
21 May 2022
Gradient Concealment: Free Lunch for Defending Adversarial Attacks
Sen Pei
Jiaxi Sun
Xiaopeng Zhang
Gaofeng Meng
AAML
208
1
0
21 May 2022
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
International Conference on Machine Learning (ICML), 2022
Leo Schwinn
Leon Bungert
A. Nguyen
René Raab
Falk Pulsmeyer
Doina Precup
Björn Eskofier
Dario Zanca
OOD
166
19
0
19 May 2022
Gradient Aligned Attacks via a Few Queries
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
210
0
0
19 May 2022
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Alexander Bartler
Florian Bender
Felix Wiewel
B. Yang
TTA
163
10
0
18 May 2022
Diffusion Models for Adversarial Purification
International Conference on Machine Learning (ICML), 2022
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
499
592
0
16 May 2022
Rethinking Classifier and Adversarial Attack
Youhuan Yang
Lei Sun
Leyu Dai
Song Guo
Xiuqing Mao
Xiaoqin Wang
Bayi Xu
AAML
135
0
0
04 May 2022
CE-based white-box adversarial attacks will not work using super-fitting
Youhuan Yang
Lei Sun
Leyu Dai
Song Guo
Xiuqing Mao
Xiaoqin Wang
Bayi Xu
AAML
279
0
0
04 May 2022
Adversarial Robustness through the Lens of Convolutional Filters
Paul Gavrikov
J. Keuper
159
15
0
05 Apr 2022
FrequencyLowCut Pooling -- Plug & Play against Catastrophic Overfitting
European Conference on Computer Vision (ECCV), 2022
Julia Grabinski
Steffen Jung
J. Keuper
Margret Keuper
AAML
199
33
0
01 Apr 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
Computer Vision and Pattern Recognition (CVPR), 2022
Paul Gavrikov
J. Keuper
AAML
267
36
0
29 Mar 2022
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