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1801.02612
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Spatially Transformed Adversarial Examples
8 January 2018
Chaowei Xiao
Jun-Yan Zhu
Yue Liu
Warren He
M. Liu
Basel Alomair
AAML
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Papers citing
"Spatially Transformed Adversarial Examples"
50 / 326 papers shown
Improving Adversarial Robustness via Mutual Information Estimation
International Conference on Machine Learning (ICML), 2022
Dawei Zhou
Nannan Wang
Xinbo Gao
Bo Han
Xiaoyu Wang
Yibing Zhan
Tongliang Liu
AAML
170
23
0
25 Jul 2022
Adversarial Contrastive Learning via Asymmetric InfoNCE
European Conference on Computer Vision (ECCV), 2022
Qiying Yu
Jieming Lou
Xianyuan Zhan
Qizhang Li
W. Zuo
Yang Liu
Jingjing Liu
AAML
253
31
0
18 Jul 2022
Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations
Asia-Pacific Software Engineering Conference (APSEC), 2022
S. Munakata
Caterina Urban
Haruki Yokoyama
Koji Yamamoto
Kazuki Munakata
AAML
137
4
0
13 Jul 2022
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches
European Conference on Computer Vision (ECCV), 2022
Zhiyuan Cheng
James Liang
Hongjun Choi
Guanhong Tao
Zhiwen Cao
Dongfang Liu
Xiangyu Zhang
AAML
MDE
213
129
0
11 Jul 2022
Dynamic Time Warping based Adversarial Framework for Time-Series Domain
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Taha Belkhouja
Yan Yan
J. Doppa
AAML
AI4TS
192
44
0
09 Jul 2022
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features
Journal of Artificial Intelligence Research (JAIR), 2022
Taha Belkhouja
J. Doppa
AAML
AI4TS
212
17
0
09 Jul 2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis
AAAI Conference on Artificial Intelligence (AAAI), 2022
Taha Belkhouja
Yan Yan
J. Doppa
OOD
AI4TS
202
12
0
09 Jul 2022
Generalization to translation shifts: a study in architectures and augmentations
Suriya Gunasekar
227
2
0
05 Jul 2022
Removing Batch Normalization Boosts Adversarial Training
International Conference on Machine Learning (ICML), 2022
Haotao Wang
Aston Zhang
Shuai Zheng
Xingjian Shi
Mu Li
Zinan Lin
285
50
0
04 Jul 2022
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models
International Conference on Intelligent Computing (ICIC), 2022
Lele Wang
B. Liu
UQCV
430
7
0
29 Jun 2022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
International Conference on Machine Learning (ICML), 2022
Zhongkai Hao
Chengyang Ying
Yinpeng Dong
Hang Su
Jun Zhu
Jian Song
AAML
183
26
0
09 Jun 2022
Securing AI-based Healthcare Systems using Blockchain Technology: A State-of-the-Art Systematic Literature Review and Future Research Directions
Transactions on Emerging Telecommunications Technologies (TETT), 2022
Rucha Shinde
S. Patil
K. Kotecha
V. Potdar
Ganeshsree Selvachandran
Ajith Abraham
138
65
0
30 May 2022
Exposing Fine-Grained Adversarial Vulnerability of Face Anti-Spoofing Models
Songlin Yang
Wei Wang
Chenye Xu
Ziwen He
Bo Peng
Jing Dong
AAML
CVBM
265
5
0
30 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
623
637
0
16 May 2022
Formulating Robustness Against Unforeseen Attacks
Neural Information Processing Systems (NeurIPS), 2022
Sihui Dai
Saeed Mahloujifar
Prateek Mittal
OOD
AAML
425
9
0
28 Apr 2022
Poisons that are learned faster are more effective
Pedro Sandoval-Segura
Vasu Singla
Liam H. Fowl
Jonas Geiping
Micah Goldblum
David Jacobs
Tom Goldstein
265
22
0
19 Apr 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs
Computer Vision and Image Understanding (CVIU), 2022
Chen-Hao Hu
Weiwen Shi
Wen Li
AAML
286
11
0
02 Apr 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations
International Conference on Learning Representations (ICLR), 2022
Yifan Gong
Yuguang Yao
Yize Li
Yimeng Zhang
Xiaoming Liu
Xinyu Lin
Sijia Liu
AAML
376
25
0
26 Mar 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies
Pattern Recognition (Pattern Recogn.), 2022
Zhuang Qian
Kaizhu Huang
Qiufeng Wang
Xu-Yao Zhang
OOD
AAML
ObjD
306
97
0
26 Mar 2022
Attacking deep networks with surrogate-based adversarial black-box methods is easy
International Conference on Learning Representations (ICLR), 2022
Nicholas A. Lord
Romain Mueller
Luca Bertinetto
AAML
MLAU
296
32
0
16 Mar 2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization
Sam Buchanan
Jingkai Yan
Ellie Haber
John N. Wright
232
3
0
09 Mar 2022
Adversarially Robust Learning with Tolerance
International Conference on Algorithmic Learning Theory (ALT), 2022
H. Ashtiani
Vinayak Pathak
Ruth Urner
AAML
273
10
0
02 Mar 2022
Universal adversarial perturbation for remote sensing images
IEEE International Workshop on Multimedia Signal Processing (MMSP), 2022
Qingyu Wang
Jin Tang
Z. Yin
Bin Luo
AAML
202
6
0
22 Feb 2022
On the Effectiveness of Adversarial Training against Backdoor Attacks
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yinghua Gao
Dongxian Wu
Jingfeng Zhang
Guanhao Gan
Shutao Xia
Gang Niu
Masashi Sugiyama
AAML
218
32
0
22 Feb 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
Computer Vision and Pattern Recognition (CVPR), 2022
Lei Hsiung
Yun-Yun Tsai
Pin-Yu Chen
Tsung-Yi Ho
AAML
309
44
0
09 Feb 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
International Conference on Machine Learning (ICML), 2022
Xilie Xu
Jingfeng Zhang
Yifan Zhang
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
372
2
0
07 Feb 2022
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework
Neurocomputing (Neurocomputing), 2022
Mohammad Khalooei
M. Homayounpour
M. Amirmazlaghani
AAML
284
4
0
05 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding
Chejian Xu
Mansur Arief
Hao-ming Lin
Yue Liu
Ding Zhao
722
246
0
04 Feb 2022
How Robust are Discriminatively Trained Zero-Shot Learning Models?
Image and Vision Computing (IVC), 2022
M. K. Yucel
R. G. Cinbis
Pinar Duygulu
272
15
0
26 Jan 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes
Fangcheng Liu
Chaoning Zhang
Hongyang R. Zhang
AAML
339
24
0
04 Jan 2022
Invertible Image Dataset Protection
IEEE International Conference on Multimedia and Expo (ICME), 2021
Kejiang Chen
Xianhan Zeng
Qichao Ying
Sheng Li
Zhenxing Qian
Xinpeng Zhang
210
12
0
29 Dec 2021
ℓ
∞
\ell_\infty
ℓ
∞
-Robustness and Beyond: Unleashing Efficient Adversarial Training
H. M. Dolatabadi
S. Erfani
C. Leckie
OOD
AAML
259
12
0
01 Dec 2021
Human Imperceptible Attacks and Applications to Improve Fairness
Xinru Hua
Huanzhong Xu
Jose H. Blanchet
V. Nguyen
AAML
186
4
0
30 Nov 2021
Pyramid Adversarial Training Improves ViT Performance
Charles Herrmann
Kyle Sargent
Lu Jiang
Ramin Zabih
Huiwen Chang
Ce Liu
Dilip Krishnan
Deqing Sun
ViT
327
63
0
30 Nov 2021
Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network
Yihao Huang
Felix Juefei Xu
Qing Guo
G. Pu
Yang Liu
GAN
264
6
0
25 Nov 2021
Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS
Christian Schroeder de Witt
Yongchao Huang
Juil Sock
Martin Strohmeier
AAML
235
3
0
23 Nov 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems
Bao Gia Doan
Minhui Xue
Shiqing Ma
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
403
71
0
19 Nov 2021
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
Jongheon Jeong
Sejun Park
Minkyu Kim
Heung-Chang Lee
Do-Guk Kim
Jinwoo Shin
AAML
239
65
0
17 Nov 2021
Sparse Adversarial Video Attacks with Spatial Transformations
British Machine Vision Conference (BMVC), 2021
Ronghui Mu
Wenjie Ruan
Leandro Soriano Marcolino
Q. Ni
AAML
324
22
0
10 Nov 2021
Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search
Pengfei Xia
Wandi Qiao
Bin Li
AAML
506
3
0
09 Nov 2021
Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness
Science China Information Sciences (Sci China Inf Sci), 2021
Ke Sun
Mingjie Li
Zhouchen Lin
AAML
255
3
0
03 Nov 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Haotao Wang
Chaowei Xiao
Jean Kossaifi
Zhiding Yu
Anima Anandkumar
Zinan Lin
380
134
0
26 Oct 2021
Adversarial Token Attacks on Vision Transformers
Ameya Joshi
Gauri Jagatap
Chinmay Hegde
ViT
226
23
0
08 Oct 2021
Auditing AI models for Verified Deployment under Semantic Specifications
Homanga Bharadhwaj
De-An Huang
Chaowei Xiao
Anima Anandkumar
Animesh Garg
MLAU
226
6
0
25 Sep 2021
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2021
Mikhail Aleksandrovich Pautov
Nurislam Tursynbek
Marina Munkhoeva
Nikita Muravev
Aleksandr Petiushko
Ivan Oseledets
AAML
276
26
0
22 Sep 2021
Modeling Adversarial Noise for Adversarial Training
Dawei Zhou
Nannan Wang
Bo Han
Tongliang Liu
AAML
293
18
0
21 Sep 2021
Robustness and Generalization via Generative Adversarial Training
IEEE International Conference on Computer Vision (ICCV), 2021
Omid Poursaeed
Tianxing Jiang
Harry Yang
Serge Belongie
SerNam Lim
OOD
AAML
202
34
0
06 Sep 2021
Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings
IEEE International Conference on Computer Vision (ICCV), 2021
Mazda Moayeri
Soheil Feizi
AAML
256
20
0
30 Aug 2021
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications
International Conference on Information and Knowledge Management (CIKM), 2021
Wenjie Ruan
Xinping Yi
Xiaowei Huang
AAML
OOD
203
20
0
24 Aug 2021
Imperceptible Adversarial Examples by Spatial Chroma-Shift
A. Aydin
Deniz Sen
Berat Tuna Karli
Oguz Hanoglu
A. Temi̇zel
AAML
237
19
0
05 Aug 2021
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