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Spatially Transformed Adversarial Examples
v1v2 (latest)

Spatially Transformed Adversarial Examples

8 January 2018
Chaowei Xiao
Jun-Yan Zhu
Yue Liu
Warren He
M. Liu
Basel Alomair
    AAML
ArXiv (abs)PDFHTML

Papers citing "Spatially Transformed Adversarial Examples"

50 / 219 papers shown
Title
On the Effectiveness of Adversarial Training against Backdoor Attacks
On the Effectiveness of Adversarial Training against Backdoor Attacks
Yinghua Gao
Dongxian Wu
Jingfeng Zhang
Guanhao Gan
Shutao Xia
Gang Niu
Masashi Sugiyama
AAML
85
23
0
22 Feb 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial
  Training to Composite Semantic Perturbations
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
Lei Hsiung
Yun-Yun Tsai
Pin-Yu Chen
Tsung-Yi Ho
AAML
79
30
0
09 Feb 2022
Layer-wise Regularized Adversarial Training using Layers Sustainability
  Analysis (LSA) framework
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework
Mohammad Khalooei
M. Homayounpour
M. Amirmazlaghani
AAML
71
3
0
05 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A
  Methodological Perspective
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding
Chejian Xu
Mansur Arief
Hao-ming Lin
Yue Liu
Ding Zhao
119
163
0
04 Feb 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum
  Changes
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes
Fangcheng Liu
Chaoning Zhang
Hongyang R. Zhang
AAML
88
21
0
04 Jan 2022
Invertible Image Dataset Protection
Invertible Image Dataset Protection
Kejiang Chen
Xianhan Zeng
Qichao Ying
Sheng Li
Zhenxing Qian
Xinpeng Zhang
71
7
0
29 Dec 2021
$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial
  Training
ℓ∞\ell_\inftyℓ∞​-Robustness and Beyond: Unleashing Efficient Adversarial Training
H. M. Dolatabadi
S. Erfani
C. Leckie
OODAAML
92
12
0
01 Dec 2021
Pyramid Adversarial Training Improves ViT Performance
Pyramid Adversarial Training Improves ViT Performance
Charles Herrmann
Kyle Sargent
Lu Jiang
Ramin Zabih
Huiwen Chang
Ce Liu
Dilip Krishnan
Deqing Sun
ViT
118
59
0
30 Nov 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep
  Neural Network Systems
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems
Bao Gia Doan
Minhui Xue
Shiqing Ma
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
106
57
0
19 Nov 2021
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for
  Certified Robustness
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
Jongheon Jeong
Sejun Park
Minkyu Kim
Heung-Chang Lee
Do-Guk Kim
Jinwoo Shin
AAML
85
57
0
17 Nov 2021
Sparse Adversarial Video Attacks with Spatial Transformations
Sparse Adversarial Video Attacks with Spatial Transformations
Ronghui Mu
Wenjie Ruan
Leandro Soriano Marcolino
Q. Ni
AAML
90
19
0
10 Nov 2021
Tightening the Approximation Error of Adversarial Risk with Auto Loss
  Function Search
Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search
Pengfei Xia
Ziqiang Li
Bin Li
AAML
121
3
0
09 Nov 2021
AugMax: Adversarial Composition of Random Augmentations for Robust
  Training
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Haotao Wang
Chaowei Xiao
Jean Kossaifi
Zhiding Yu
Anima Anandkumar
Zhangyang Wang
145
113
0
26 Oct 2021
Adversarial Token Attacks on Vision Transformers
Adversarial Token Attacks on Vision Transformers
Ameya Joshi
Gauri Jagatap
Chinmay Hegde
ViT
99
19
0
08 Oct 2021
Auditing AI models for Verified Deployment under Semantic Specifications
Auditing AI models for Verified Deployment under Semantic Specifications
Homanga Bharadhwaj
De-An Huang
Chaowei Xiao
Anima Anandkumar
Animesh Garg
MLAU
100
6
0
25 Sep 2021
CC-Cert: A Probabilistic Approach to Certify General Robustness of
  Neural Networks
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks
Mikhail Aleksandrovich Pautov
Nurislam Tursynbek
Marina Munkhoeva
Nikita Muravev
Aleksandr Petiushko
Ivan Oseledets
AAML
93
16
0
22 Sep 2021
Robustness and Generalization via Generative Adversarial Training
Robustness and Generalization via Generative Adversarial Training
Omid Poursaeed
Tianxing Jiang
Harry Yang
Serge Belongie
SerNam Lim
OODAAML
68
26
0
06 Sep 2021
Sample Efficient Detection and Classification of Adversarial Attacks via
  Self-Supervised Embeddings
Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings
Mazda Moayeri
Soheil Feizi
AAML
42
19
0
30 Aug 2021
Adversarial Robustness of Deep Learning: Theory, Algorithms, and
  Applications
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications
Wenjie Ruan
Xinping Yi
Xiaowei Huang
AAMLOOD
52
17
0
24 Aug 2021
Imperceptible Adversarial Examples by Spatial Chroma-Shift
Imperceptible Adversarial Examples by Spatial Chroma-Shift
A. Aydin
Deniz Sen
Berat Tuna Karli
Oguz Hanoglu
A. Temi̇zel
AAML
60
16
0
05 Aug 2021
On the Certified Robustness for Ensemble Models and Beyond
On the Certified Robustness for Ensemble Models and Beyond
Zhuolin Yang
Linyi Li
Xiaojun Xu
B. Kailkhura
Tao Xie
Yue Liu
AAML
106
50
0
22 Jul 2021
Understanding Adversarial Examples Through Deep Neural Network's
  Response Surface and Uncertainty Regions
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions
Juan Shu
B. Xi
Charles A. Kamhoua
AAML
105
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
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
101
226
0
17 Jun 2021
Localized Uncertainty Attacks
Localized Uncertainty Attacks
Ousmane Amadou Dia
Theofanis Karaletsos
C. Hazirbas
Cristian Canton Ferrer
I. Kabul
E. Meijer
AAML
55
2
0
17 Jun 2021
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial
  Attacks
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks
Nezihe Merve Gürel
Xiangyu Qi
Luka Rimanic
Ce Zhang
Yue Liu
AAML
67
39
0
11 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and Primer
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zhangyang Wang
J. Yadawa
95
32
0
09 Jun 2021
Relative stability toward diffeomorphisms indicates performance in deep
  nets
Relative stability toward diffeomorphisms indicates performance in deep nets
Leonardo Petrini
Alessandro Favero
Mario Geiger
Matthieu Wyart
OOD
93
15
0
06 May 2021
MixDefense: A Defense-in-Depth Framework for Adversarial Example
  Detection Based on Statistical and Semantic Analysis
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
39
1
0
20 Apr 2021
Removing Adversarial Noise in Class Activation Feature Space
Removing Adversarial Noise in Class Activation Feature Space
Dawei Zhou
N. Wang
Chunlei Peng
Xinbo Gao
Xiaoyu Wang
Jun Yu
Tongliang Liu
AAML
66
29
0
19 Apr 2021
Adaptive Clustering of Robust Semantic Representations for Adversarial
  Image Purification
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification
S. Silva
Arun Das
I. Scarff
Peyman Najafirad
AAML
61
1
0
05 Apr 2021
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity
  and Model Smoothness
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness
Zhuolin Yang
Linyi Li
Xiaojun Xu
Shiliang Zuo
Qiang Chen
Benjamin I. P. Rubinstein
Pan Zhou
Ce Zhang
Yue Liu
AAML
139
56
0
01 Apr 2021
Deepfake Forensics via An Adversarial Game
Deepfake Forensics via An Adversarial Game
Zhi Wang
Yiwen Guo
W. Zuo
AAML
66
36
0
25 Mar 2021
Generating Unrestricted Adversarial Examples via Three Parameters
Generating Unrestricted Adversarial Examples via Three Parameters
Hanieh Naderi
Leili Goli
S. Kasaei
88
9
0
13 Mar 2021
Internal Wasserstein Distance for Adversarial Attack and Defense
Internal Wasserstein Distance for Adversarial Attack and Defense
Jincheng Li
Shuhai Zhang
Jingyun Liang
Jian Chen
Mingkui Tan
Yang Xiang
AAML
93
4
0
13 Mar 2021
Understanding the Robustness of Skeleton-based Action Recognition under
  Adversarial Attack
Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack
He Wang
Feixiang He
Zhexi Peng
Tianjia Shao
Yong-Liang Yang
Kun Zhou
David C. Hogg
AAML
73
40
0
09 Mar 2021
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search
Guoyang Xie
Jinbao Wang
Guo-Ding Yu
Feng Zheng
Yaochu Jin
AAML
78
6
0
28 Feb 2021
Understanding Robustness in Teacher-Student Setting: A New Perspective
Understanding Robustness in Teacher-Student Setting: A New Perspective
Zhuolin Yang
Zhaoxi Chen
Tiffany Cai
Xinyun Chen
Yue Liu
Yuandong Tian
AAML
48
2
0
25 Feb 2021
Exploring Adversarial Fake Images on Face Manifold
Exploring Adversarial Fake Images on Face Manifold
Dongze Li
Wei Wang
Hongxing Fan
Jing Dong
AAML
88
44
0
09 Jan 2021
Understanding the Error in Evaluating Adversarial Robustness
Understanding the Error in Evaluating Adversarial Robustness
Pengfei Xia
Ziqiang Li
Hongjing Niu
Bin Li
AAMLELM
76
5
0
07 Jan 2021
FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition
  (OCR) Systems
FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems
Lu Chen
Jiao Sun
Wenyuan Xu
AAML
35
16
0
15 Dec 2020
Positional Encoding as Spatial Inductive Bias in GANs
Positional Encoding as Spatial Inductive Bias in GANs
Rui Xu
Xintao Wang
Kai-xiang Chen
Bolei Zhou
Chen Change Loy
GAN
97
90
0
09 Dec 2020
Adversarial Image Color Transformations in Explicit Color Filter Space
Adversarial Image Color Transformations in Explicit Color Filter Space
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
110
14
0
12 Nov 2020
Data Augmentation via Structured Adversarial Perturbations
Data Augmentation via Structured Adversarial Perturbations
Calvin Luo
H. Mobahi
Samy Bengio
AAML
53
5
0
05 Nov 2020
Adversarial Robust Training of Deep Learning MRI Reconstruction Models
Adversarial Robust Training of Deep Learning MRI Reconstruction Models
Francesco Calivá
Kaiyang Cheng
Rutwik Shah
V. Pedoia
OODAAMLMedIm
86
12
0
30 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep
  Learning through Adversarial Robustness
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
121
48
0
19 Oct 2020
Understanding Local Robustness of Deep Neural Networks under Natural
  Variations
Understanding Local Robustness of Deep Neural Networks under Natural Variations
Ziyuan Zhong
Yuchi Tian
Baishakhi Ray
AAML
71
1
0
09 Oct 2020
Targeted Physical-World Attention Attack on Deep Learning Models in Road
  Sign Recognition
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition
Xinghao Yang
Weifeng Liu
Shengli Zhang
Wei Liu
Dacheng Tao
AAML
36
30
0
09 Oct 2020
Efficient Certification of Spatial Robustness
Efficient Certification of Spatial Robustness
Anian Ruoss
Maximilian Baader
Mislav Balunović
Martin Vechev
AAML
75
26
0
19 Sep 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition
Bias Field Poses a Threat to DNN-based X-Ray Recognition
Binyu Tian
Qing Guo
Felix Juefei Xu
W. L. Chan
Yupeng Cheng
Xiaohong Li
Xiaofei Xie
Shengchao Qin
AAMLAI4CE
105
33
0
19 Sep 2020
MultAV: Multiplicative Adversarial Videos
MultAV: Multiplicative Adversarial Videos
Shao-Yuan Lo
Vishal M. Patel
AAML
83
9
0
17 Sep 2020
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