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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 / 326 papers shown
Adversarial Examples and Metrics
Adversarial Examples and Metrics
Nico Döttling
Kathrin Grosse
Michael Backes
Ian Molloy
AAML
168
0
0
14 Jul 2020
Interpretation of Disease Evidence for Medical Images Using Adversarial
  Deformation Fields
Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields
Ricardo Bigolin Lanfredi
Joyce D. Schroeder
C. Vachet
Tolga Tasdizen
MedIm
128
6
0
04 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A
  Survey
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
S. Silva
Peyman Najafirad
AAMLOOD
343
150
0
01 Jul 2020
Neural Network Virtual Sensors for Fuel Injection Quantities with
  Provable Performance Specifications
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications
Eric Wong
Tim Schneider
Joerg Schmitt
Frank R. Schmidt
J. Zico Kolter
AAML
205
12
0
30 Jun 2020
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Perceptual Adversarial Robustness: Defense Against Unseen Threat ModelsInternational Conference on Learning Representations (ICLR), 2020
Cassidy Laidlaw
Sahil Singla
Soheil Feizi
AAMLOOD
503
211
0
22 Jun 2020
Adversarial Defense by Latent Style Transformations
Adversarial Defense by Latent Style Transformations
Shuo Wang
Surya Nepal
A. Abuadbba
Carsten Rudolph
M. Grobler
AAML
136
11
0
17 Jun 2020
On Saliency Maps and Adversarial Robustness
On Saliency Maps and Adversarial Robustness
Puneet Mangla
Vedant Singh
V. Balasubramanian
AAML
217
18
0
14 Jun 2020
Consistency Regularization for Certified Robustness of Smoothed
  Classifiers
Consistency Regularization for Certified Robustness of Smoothed Classifiers
Jongheon Jeong
Jinwoo Shin
AAML
306
96
0
07 Jun 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack
QEBA: Query-Efficient Boundary-Based Blackbox AttackComputer Vision and Pattern Recognition (CVPR), 2020
Huichen Li
Xiaojun Xu
Xiaolu Zhang
Shuang Yang
Yue Liu
AAML
301
198
0
28 May 2020
Model-Based Robust Deep Learning: Generalizing to Natural,
  Out-of-Distribution Data
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data
Avi Schwarzschild
Hamed Hassani
George J. Pappas
OOD
295
42
0
20 May 2020
Adversarial Training against Location-Optimized Adversarial Patches
Adversarial Training against Location-Optimized Adversarial Patches
Sukrut Rao
David Stutz
Bernt Schiele
AAML
328
110
0
05 May 2020
Approximate Manifold Defense Against Multiple Adversarial Perturbations
Approximate Manifold Defense Against Multiple Adversarial PerturbationsIEEE International Joint Conference on Neural Network (IJCNN), 2020
Jay Nandy
Wynne Hsu
Yang Deng
AAML
187
12
0
05 Apr 2020
Learning by Analogy: Reliable Supervision from Transformations for
  Unsupervised Optical Flow Estimation
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow EstimationComputer Vision and Pattern Recognition (CVPR), 2020
Lu Liu
Jiangning Zhang
Ruifei He
Yong Liu
Yabiao Wang
Ying Tai
Donghao Luo
Chengjie Wang
Jilin Li
Feiyue Huang
317
197
0
29 Mar 2020
Heat and Blur: An Effective and Fast Defense Against Adversarial
  Examples
Heat and Blur: An Effective and Fast Defense Against Adversarial Examples
Haya Brama
Tal Grinshpoun
AAML
216
9
0
17 Mar 2020
Generating Natural Language Adversarial Examples on a Large Scale with
  Generative Models
Generating Natural Language Adversarial Examples on a Large Scale with Generative ModelsEuropean Conference on Artificial Intelligence (ECAI), 2020
Yankun Ren
J. Lin
Siliang Tang
Jun Zhou
Shuang Yang
Yuan Qi
Xiang Ren
GANAAMLSILM
179
27
0
10 Mar 2020
TSS: Transformation-Specific Smoothing for Robustness Certification
TSS: Transformation-Specific Smoothing for Robustness CertificationConference on Computer and Communications Security (CCS), 2020
Linyi Li
Maurice Weber
Xiaojun Xu
Luka Rimanic
B. Kailkhura
Tao Xie
Ce Zhang
Yue Liu
AAML
458
61
0
27 Feb 2020
Overfitting in adversarially robust deep learning
Overfitting in adversarially robust deep learningInternational Conference on Machine Learning (ICML), 2020
Leslie Rice
Eric Wong
Zico Kolter
613
895
0
26 Feb 2020
Can we have it all? On the Trade-off between Spatial and Adversarial
  Robustness of Neural Networks
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural NetworksNeural Information Processing Systems (NeurIPS), 2020
Sandesh Kamath
Amit Deshpande
Subrahmanyam Kambhampati Venkata
V. Balasubramanian
294
13
0
26 Feb 2020
Adversarial Ranking Attack and Defense
Adversarial Ranking Attack and DefenseEuropean Conference on Computer Vision (ECCV), 2020
Mo Zhou
Zhenxing Niu
Le Wang
Qilin Zhang
G. Hua
327
42
0
26 Feb 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Attacks Which Do Not Kill Training Make Adversarial Learning StrongerInternational Conference on Machine Learning (ICML), 2020
Jingfeng Zhang
Xilie Xu
Bo Han
Gang Niu
Li-zhen Cui
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
180
445
0
26 Feb 2020
Recurrent Attention Model with Log-Polar Mapping is Robust against
  Adversarial Attacks
Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks
Taro Kiritani
Koji Ono
AAML
135
3
0
13 Feb 2020
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks
Qing Guo
Felix Juefei Xu
Xiaofei Xie
Lei Ma
Jian-Xun Wang
Bing Yu
Wei Feng
Yang Liu
AAML
175
18
0
10 Feb 2020
Adversarial Color Enhancement: Generating Unrestricted Adversarial
  Images by Optimizing a Color Filter
Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter
Subrat Kishore Dutta
Zhuoran Liu
Martha Larson
256
1
0
03 Feb 2020
GhostImage: Remote Perception Attacks against Camera-based Image
  Classification Systems
GhostImage: Remote Perception Attacks against Camera-based Image Classification Systems
Yanmao Man
Ming Li
Ryan M. Gerdes
AAML
185
8
0
21 Jan 2020
Robust Facial Landmark Detection via Aggregation on Geometrically
  Manipulated Faces
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated FacesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Seyed Mehdi Iranmanesh
Ali Dabouei
Sobhan Soleymani
Hadi Kazemi
Nasser M. Nasrabadi
3DHCVBM
158
12
0
07 Jan 2020
Deceiving Image-to-Image Translation Networks for Autonomous Driving
  with Adversarial Perturbations
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial PerturbationsIEEE Robotics and Automation Letters (RA-L), 2020
Lin Wang
Wonjune Cho
Kuk-Jin Yoon
AAML
229
29
0
06 Jan 2020
Benchmarking Adversarial Robustness
Benchmarking Adversarial Robustness
Yinpeng Dong
Qi-An Fu
Xiao Yang
Tianyu Pang
Hang Su
Zihao Xiao
Jun Zhu
AAML
184
37
0
26 Dec 2019
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on
  Deep Neural Network Performance
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network PerformanceIEEE International Conference on Computer Vision (ICCV), 2019
Mahmoud Afifi
M. Brown
AAML
212
122
0
15 Dec 2019
Amora: Black-box Adversarial Morphing Attack
Amora: Black-box Adversarial Morphing AttackACM Multimedia (ACM MM), 2019
Run Wang
Felix Juefei Xu
Qing Guo
Yihao Huang
Xiaofei Xie
Lei Ma
Yang Liu
AAML
324
48
0
09 Dec 2019
Attributional Robustness Training using Input-Gradient Spatial Alignment
Attributional Robustness Training using Input-Gradient Spatial Alignment
M. Singh
Nupur Kumari
Puneet Mangla
Abhishek Sinha
V. Balasubramanian
Balaji Krishnamurthy
OOD
399
10
0
29 Nov 2019
Playing it Safe: Adversarial Robustness with an Abstain Option
Playing it Safe: Adversarial Robustness with an Abstain Option
Cassidy Laidlaw
Soheil Feizi
AAML
186
20
0
25 Nov 2019
The Origins and Prevalence of Texture Bias in Convolutional Neural
  Networks
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks
Katherine L. Hermann
Ting Chen
Simon Kornblith
CVBM
377
21
0
20 Nov 2019
Fine-grained Synthesis of Unrestricted Adversarial Examples
Fine-grained Synthesis of Unrestricted Adversarial Examples
Omid Poursaeed
Tianxing Jiang
Yordanos Goshu
Harry Yang
Serge J. Belongie
Ser-Nam Lim
AAML
336
13
0
20 Nov 2019
Deep Verifier Networks: Verification of Deep Discriminative Models with
  Deep Generative Models
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative ModelsAAAI Conference on Artificial Intelligence (AAAI), 2019
Tong Che
Xiaofeng Liu
Site Li
Yubin Ge
Ruixiang Zhang
Caiming Xiong
Yoshua Bengio
428
54
0
18 Nov 2019
SMART: Skeletal Motion Action Recognition aTtack
SMART: Skeletal Motion Action Recognition aTtack
He Wang
Feixiang He
Zexi Peng
Yong-Liang Yang
Tianjia Shao
Kun Zhou
David C. Hogg
AAML
259
5
0
16 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
242
114
0
13 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with
  Perceptual Color Distance
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color DistanceComputer Vision and Pattern Recognition (CVPR), 2019
Subrat Kishore Dutta
Zhuoran Liu
Martha Larson
AAML
409
171
0
06 Nov 2019
Instance adaptive adversarial training: Improved accuracy tradeoffs in
  neural nets
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Yogesh Balaji
Tom Goldstein
Judy Hoffman
AAML
327
111
0
17 Oct 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial
  Perturbations
SmoothFool: An Efficient Framework for Computing Smooth Adversarial PerturbationsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Ali Dabouei
Sobhan Soleymani
Fariborz Taherkhani
J. Dawson
Nasser M. Nasrabadi
AAML
235
22
0
08 Oct 2019
Perturbations are not Enough: Generating Adversarial Examples with
  Spatial Distortions
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions
He Zhao
Trung Le
Paul Montague
O. Vel
Tamas Abraham
Dinh Q. Phung
AAML
147
8
0
03 Oct 2019
Analyzing and Improving Neural Networks by Generating Semantic
  Counterexamples through Differentiable Rendering
Analyzing and Improving Neural Networks by Generating Semantic Counterexamples through Differentiable Rendering
Lakshya Jain
Varun Chandrasekaran
Uyeong Jang
Wilson Wu
Andrew Lee
Andy Yan
Steven Chen
S. Jha
Sanjit A. Seshia
AAML
172
11
0
02 Oct 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Adversarial Attacks and Defenses in Images, Graphs and Text: A ReviewInternational Journal of Automation and Computing (IJAC), 2019
Han Xu
Yao Ma
Haochen Liu
Debayan Deb
Hui Liu
Shucheng Zhou
Anil K. Jain
AAML
364
729
0
17 Sep 2019
Generating Black-Box Adversarial Examples for Text Classifiers Using a
  Deep Reinforced Model
Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model
Prashanth Vijayaraghavan
D. Roy
AAML
113
39
0
17 Sep 2019
Adversarial Attack on Skeleton-based Human Action Recognition
Adversarial Attack on Skeleton-based Human Action RecognitionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Jian Liu
Naveed Akhtar
Lin Wang
AAML
155
76
0
14 Sep 2019
Sparse and Imperceivable Adversarial Attacks
Sparse and Imperceivable Adversarial AttacksIEEE International Conference on Computer Vision (ICCV), 2019
Francesco Croce
Matthias Hein
AAML
217
221
0
11 Sep 2019
Are Adversarial Robustness and Common Perturbation Robustness
  Independent Attributes ?
Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ?
Alfred Laugros
A. Caplier
Matthieu Ospici
AAML
176
44
0
04 Sep 2019
Testing Robustness Against Unforeseen Adversaries
Testing Robustness Against Unforeseen Adversaries
Maximilian Kaufmann
Daniel Kang
Yi Sun
Steven Basart
Xuwang Yin
...
Adam Dziedzic
Franziska Boenisch
Tom B. Brown
Jacob Steinhardt
Dan Hendrycks
AAML
369
0
0
21 Aug 2019
AdvFaces: Adversarial Face Synthesis
AdvFaces: Adversarial Face Synthesis
Debayan Deb
Jianbang Zhang
Anil K. Jain
GANCVBMAAMLPICV
241
148
0
14 Aug 2019
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks
MetaAdvDet: Towards Robust Detection of Evolving Adversarial AttacksACM Multimedia (ACM MM), 2019
Chen Ma
Chenxu Zhao
Hailin Shi
Li Chen
Junhai Yong
Dan Zeng
AAML
119
19
0
06 Aug 2019
A principled approach for generating adversarial images under non-smooth
  dissimilarity metrics
A principled approach for generating adversarial images under non-smooth dissimilarity metricsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Aram-Alexandre Pooladian
Chris Finlay
Tim Hoheisel
Adam M. Oberman
AAML
178
3
0
05 Aug 2019
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