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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
On the Certified Robustness for Ensemble Models and Beyond
International Conference on Learning Representations (ICLR), 2021
Zhuolin Yang
Linyi Li
Xiaojun Xu
B. Kailkhura
Tao Xie
Yue Liu
AAML
292
54
0
22 Jul 2021
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions
Juan Shu
B. Xi
Charles A. Kamhoua
AAML
237
0
0
30 Jun 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks
Yulong Cao*
Ningfei Wang*
Chaowei Xiao
Dawei Yang
Jin Fang
Ruigang Yang
Qi Alfred Chen
Mingyan D. Liu
Yue Liu
AAML
232
282
0
17 Jun 2021
Localized Uncertainty Attacks
Ousmane Amadou Dia
Theofanis Karaletsos
C. Hazirbas
Cristian Canton Ferrer
I. Kabul
E. Meijer
AAML
141
2
0
17 Jun 2021
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks
International Conference on Machine Learning (ICML), 2021
Nezihe Merve Gürel
Xiangyu Qi
Luka Rimanic
Ce Zhang
Yue Liu
AAML
125
48
0
11 Jun 2021
Towards Defending against Adversarial Examples via Attack-Invariant Features
International Conference on Machine Learning (ICML), 2021
Dawei Zhou
Tongliang Liu
Bo Han
N. Wang
Chunlei Peng
Xinbo Gao
AAML
140
51
0
09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
ACM Computing Surveys (CSUR), 2021
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zinan Lin
J. Yadawa
314
47
0
09 Jun 2021
Robustifying
ℓ
∞
\ell_\infty
ℓ
∞
Adversarial Training to the Union of Perturbation Models
Ameya D. Patil
Michael Tuttle
Alex Schwing
Naresh R Shanbhag
AAML
218
0
0
31 May 2021
Relative stability toward diffeomorphisms indicates performance in deep nets
Neural Information Processing Systems (NeurIPS), 2021
Leonardo Petrini
Alessandro Favero
Mario Geiger
Matthieu Wyart
OOD
324
15
0
06 May 2021
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis
Yijun Yang
Ruiyuan Gao
Yu Li
Qiuxia Lai
Qiang Xu
AAML
151
2
0
20 Apr 2021
Removing Adversarial Noise in Class Activation Feature Space
IEEE International Conference on Computer Vision (ICCV), 2021
Dawei Zhou
N. Wang
Chunlei Peng
Xinbo Gao
Xiaoyu Wang
Jun Yu
Tongliang Liu
AAML
147
35
0
19 Apr 2021
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification
S. Silva
Arun Das
I. Scarff
Peyman Najafirad
AAML
170
1
0
05 Apr 2021
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness
Neural Information Processing Systems (NeurIPS), 2021
Zhuolin Yang
Linyi Li
Xiaojun Xu
Shiliang Zuo
Qiang Chen
Benjamin I. P. Rubinstein
Pan Zhou
Ce Zhang
Yue Liu
AAML
251
65
0
01 Apr 2021
Domain Invariant Adversarial Learning
Matan Levi
Idan Attias
A. Kontorovich
AAML
OOD
517
12
0
01 Apr 2021
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training
Machine-mediated learning (ML), 2021
Mohammad Azizmalayeri
M. Rohban
OOD
204
5
0
29 Mar 2021
Deepfake Forensics via An Adversarial Game
IEEE Transactions on Image Processing (TIP), 2021
Zhi Wang
Yiwen Guo
W. Zuo
AAML
144
47
0
25 Mar 2021
Generating Unrestricted Adversarial Examples via Three Parameters
Multimedia tools and applications (MTA), 2021
Hanieh Naderi
Leili Goli
S. Kasaei
172
9
0
13 Mar 2021
Internal Wasserstein Distance for Adversarial Attack and Defense
Jincheng Li
Shuhai Zhang
Jingyun Liang
Jian Chen
Zhuliang Yu
Yang Xiang
AAML
300
4
0
13 Mar 2021
Learning Defense Transformers for Counterattacking Adversarial Examples
Jincheng Li
Jingyun Liang
Yifan Zhang
Jian Chen
Zhuliang Yu
AAML
129
4
0
13 Mar 2021
Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack
Computer Vision and Pattern Recognition (CVPR), 2021
He Wang
Feixiang He
Zhexi Peng
Tianjia Shao
Yong-Liang Yang
Kun Zhou
David C. Hogg
AAML
236
46
0
09 Mar 2021
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search
Complex & Intelligent Systems (CIS), 2021
Guoyang Xie
Jinbao Wang
Guo-Ding Yu
Feng Zheng
Yaochu Jin
AAML
142
6
0
28 Feb 2021
Understanding Robustness in Teacher-Student Setting: A New Perspective
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Zhuolin Yang
Zhaoxi Chen
Tiffany Cai
Xinyun Chen
Yue Liu
Yuandong Tian
AAML
154
2
0
25 Feb 2021
Exploring Adversarial Fake Images on Face Manifold
Computer Vision and Pattern Recognition (CVPR), 2021
Dongze Li
Wei Wang
Hongxing Fan
Jing Dong
AAML
305
53
0
09 Jan 2021
Understanding the Error in Evaluating Adversarial Robustness
Pengfei Xia
Wandi Qiao
Hongjing Niu
Bin Li
AAML
ELM
165
5
0
07 Jan 2021
FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems
Lu Chen
Jiao Sun
Wenyuan Xu
AAML
97
19
0
15 Dec 2020
Positional Encoding as Spatial Inductive Bias in GANs
Computer Vision and Pattern Recognition (CVPR), 2020
Rui Xu
Xintao Wang
Kai-xiang Chen
Bolei Zhou
Chen Change Loy
GAN
300
93
0
09 Dec 2020
Adversarial Image Color Transformations in Explicit Color Filter Space
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2020
Subrat Kishore Dutta
Zhuoran Liu
Martha Larson
AAML
355
15
0
12 Nov 2020
Data Augmentation via Structured Adversarial Perturbations
Calvin Luo
H. Mobahi
Samy Bengio
AAML
126
5
0
05 Nov 2020
Adversarial Robust Training of Deep Learning MRI Reconstruction Models
Machine Learning for Biomedical Imaging (MLBI), 2020
Francesco Calivá
Kaiyang Cheng
Rutwik Shah
V. Pedoia
OOD
AAML
MedIm
304
13
0
30 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Proceedings of the IEEE (Proc. IEEE), 2020
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
356
50
0
19 Oct 2020
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations
Yanghao Zhang
Wenjie Ruan
Fu Lee Wang
Xiaowei Huang
AAML
293
27
0
15 Oct 2020
Understanding Local Robustness of Deep Neural Networks under Natural Variations
Ziyuan Zhong
Yuchi Tian
Baishakhi Ray
AAML
181
1
0
09 Oct 2020
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition
IEEE Internet of Things Journal (IEEE IoT J.), 2020
Xinghao Yang
Weifeng Liu
Shengli Zhang
Wei Liu
Dacheng Tao
AAML
188
39
0
09 Oct 2020
Efficient Certification of Spatial Robustness
AAAI Conference on Artificial Intelligence (AAAI), 2020
Anian Ruoss
Maximilian Baader
Mislav Balunović
Martin Vechev
AAML
139
26
0
19 Sep 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition
IEEE International Conference on Multimedia and Expo (ICME), 2020
Binyu Tian
Qing Guo
Felix Juefei Xu
W. L. Chan
Yupeng Cheng
Xiaohong Li
Xiaofei Xie
Shengchao Qin
AAML
AI4CE
359
33
0
19 Sep 2020
Online Alternate Generator against Adversarial Attacks
IEEE Transactions on Image Processing (TIP), 2020
Haofeng Li
Yirui Zeng
Guanbin Li
Liang Lin
Yizhou Yu
AAML
176
6
0
17 Sep 2020
MultAV: Multiplicative Adversarial Videos
Advanced Video and Signal Based Surveillance (AVSS), 2020
Shao-Yuan Lo
Vishal M. Patel
AAML
229
10
0
17 Sep 2020
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent
Pattern Recognition (Pattern Recognit.), 2020
Ricardo Bigolin Lanfredi
Joyce D. Schroeder
Tolga Tasdizen
290
14
0
10 Sep 2020
SoK: Certified Robustness for Deep Neural Networks
IEEE Symposium on Security and Privacy (IEEE S&P), 2020
Linyi Li
Tao Xie
Yue Liu
AAML
762
143
0
09 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective
ACM Computing Surveys (ACM CSUR), 2020
G. R. Machado
Eugênio Silva
R. Goldschmidt
AAML
256
182
0
08 Sep 2020
Shape Defense Against Adversarial Attacks
Ali Borji
AAML
188
1
0
31 Aug 2020
Improving Resistance to Adversarial Deformations by Regularizing Gradients
Neurocomputing (Neurocomputing), 2020
Pengfei Xia
Bin Li
AAML
157
4
0
29 Aug 2020
Measurement-driven Security Analysis of Imperceptible Impersonation Attacks
Shasha Li
K. Khalil
Yikang Shen
Chengyu Song
S. Krishnamurthy
Amit K. Roy-Chowdhury
A. Swami
AAML
131
3
0
26 Aug 2020
A Deep Dive into Adversarial Robustness in Zero-Shot Learning
M. K. Yucel
R. G. Cinbis
P. D. Sahin
VLM
130
8
0
17 Aug 2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks
Elahe Arani
F. Sarfraz
Bahram Zonooz
AAML
168
11
0
16 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey
ACM Computing Surveys (ACM CSUR), 2020
A. Serban
E. Poll
Joost Visser
AAML
417
80
0
07 Aug 2020
Stronger and Faster Wasserstein Adversarial Attacks
International Conference on Machine Learning (ICML), 2020
Kaiwen Wu
Allen Wang
Yaoliang Yu
AAML
185
39
0
06 Aug 2020
Attacking and Defending Machine Learning Applications of Public Cloud
Dou Goodman
Xin Hao
SILM
AAML
164
7
0
27 Jul 2020
Adversarial Attacks against Face Recognition: A Comprehensive Study
Fatemeh Vakhshiteh
A. Nickabadi
Raghavendra Ramachandra
AAML
231
16
0
22 Jul 2020
Learning perturbation sets for robust machine learning
International Conference on Learning Representations (ICLR), 2020
Eric Wong
J. Zico Kolter
OOD
244
84
0
16 Jul 2020
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