Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1801.02612
Cited By
v1
v2 (latest)
Spatially Transformed Adversarial Examples
8 January 2018
Chaowei Xiao
Jun-Yan Zhu
Yue Liu
Warren He
M. Liu
Basel Alomair
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Spatially Transformed Adversarial Examples"
50 / 219 papers shown
Title
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent
Ricardo Bigolin Lanfredi
Joyce D. Schroeder
Tolga Tasdizen
64
12
0
10 Sep 2020
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Yue Liu
AAML
123
131
0
09 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective
G. R. Machado
Eugênio Silva
R. Goldschmidt
AAML
136
164
0
08 Sep 2020
Shape Defense Against Adversarial Attacks
Ali Borji
AAML
33
1
0
31 Aug 2020
Improving Resistance to Adversarial Deformations by Regularizing Gradients
Pengfei Xia
Bin Li
AAML
56
4
0
29 Aug 2020
A Deep Dive into Adversarial Robustness in Zero-Shot Learning
M. K. Yucel
R. G. Cinbis
P. D. Sahin
VLM
68
7
0
17 Aug 2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks
Elahe Arani
F. Sarfraz
Bahram Zonooz
AAML
60
9
0
16 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey
A. Serban
E. Poll
Joost Visser
AAML
118
73
0
07 Aug 2020
Stronger and Faster Wasserstein Adversarial Attacks
Kaiwen Wu
Allen Wang
Yaoliang Yu
AAML
85
32
0
06 Aug 2020
Learning perturbation sets for robust machine learning
Eric Wong
J. Zico Kolter
OOD
76
81
0
16 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
S. Silva
Peyman Najafirad
AAML
OOD
106
135
0
01 Jul 2020
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Cassidy Laidlaw
Sahil Singla
Soheil Feizi
AAML
OOD
115
189
0
22 Jun 2020
Adversarial Defense by Latent Style Transformations
Shuo Wang
Surya Nepal
A. Abuadbba
Carsten Rudolph
M. Grobler
AAML
36
11
0
17 Jun 2020
Consistency Regularization for Certified Robustness of Smoothed Classifiers
Jongheon Jeong
Jinwoo Shin
AAML
86
88
0
07 Jun 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack
Huichen Li
Xiaojun Xu
Xiaolu Zhang
Shuang Yang
Yue Liu
AAML
135
183
0
28 May 2020
Adversarial Training against Location-Optimized Adversarial Patches
Sukrut Rao
David Stutz
Bernt Schiele
AAML
84
93
0
05 May 2020
Approximate Manifold Defense Against Multiple Adversarial Perturbations
Jay Nandy
Wynne Hsu
Mong Li Lee
AAML
65
12
0
05 Apr 2020
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation
Lu Liu
Jiangning Zhang
Ruifei He
Yong Liu
Yabiao Wang
Ying Tai
Donghao Luo
Chengjie Wang
Jilin Li
Feiyue Huang
100
177
0
29 Mar 2020
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models
Yankun Ren
J. Lin
Siliang Tang
Jun Zhou
Shuang Yang
Yuan Qi
Xiang Ren
GAN
AAML
SILM
63
23
0
10 Mar 2020
TSS: Transformation-Specific Smoothing for Robustness Certification
Linyi Li
Maurice Weber
Xiaojun Xu
Luka Rimanic
B. Kailkhura
Tao Xie
Ce Zhang
Yue Liu
AAML
147
57
0
27 Feb 2020
Overfitting in adversarially robust deep learning
Leslie Rice
Eric Wong
Zico Kolter
167
812
0
26 Feb 2020
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks
Sandesh Kamath
Amit Deshpande
Subrahmanyam Kambhampati Venkata
V. Balasubramanian
88
12
0
26 Feb 2020
Adversarial Ranking Attack and Defense
Mo Zhou
Zhenxing Niu
Le Wang
Qilin Zhang
G. Hua
152
39
0
26 Feb 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang
Xilie Xu
Bo Han
Gang Niu
Li-zhen Cui
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
69
406
0
26 Feb 2020
Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks
Taro Kiritani
Koji Ono
AAML
36
3
0
13 Feb 2020
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
64
17
0
10 Feb 2020
GhostImage: Remote Perception Attacks against Camera-based Image Classification Systems
Yanmao Man
Ming Li
Ryan M. Gerdes
AAML
85
8
0
21 Jan 2020
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces
Seyed Mehdi Iranmanesh
Ali Dabouei
Sobhan Soleymani
Hadi Kazemi
Nasser M. Nasrabadi
3DH
CVBM
71
11
0
07 Jan 2020
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations
Lin Wang
Wonjune Cho
Kuk-Jin Yoon
AAML
79
25
0
06 Jan 2020
Benchmarking Adversarial Robustness
Yinpeng Dong
Qi-An Fu
Xiao Yang
Tianyu Pang
Hang Su
Zihao Xiao
Jun Zhu
AAML
108
36
0
26 Dec 2019
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance
Mahmoud Afifi
M. Brown
AAML
84
115
0
15 Dec 2019
Playing it Safe: Adversarial Robustness with an Abstain Option
Cassidy Laidlaw
Soheil Feizi
AAML
75
20
0
25 Nov 2019
Fine-grained Synthesis of Unrestricted Adversarial Examples
Omid Poursaeed
Tianxing Jiang
Yordanos Goshu
Harry Yang
Serge J. Belongie
Ser-Nam Lim
AAML
115
13
0
20 Nov 2019
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
Tong Che
Xiaofeng Liu
Site Li
Yubin Ge
Ruixiang Zhang
Caiming Xiong
Yoshua Bengio
112
52
0
18 Nov 2019
SMART: Skeletal Motion Action Recognition aTtack
He Wang
Feixiang He
Zexi Peng
Yong-Liang Yang
Tianjia Shao
Kun Zhou
David C. Hogg
AAML
55
5
0
16 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
127
105
0
13 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
116
150
0
06 Nov 2019
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Yogesh Balaji
Tom Goldstein
Judy Hoffman
AAML
205
103
0
17 Oct 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
Ali Dabouei
Sobhan Soleymani
Fariborz Taherkhani
J. Dawson
Nasser M. Nasrabadi
AAML
144
19
0
08 Oct 2019
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions
He Zhao
Trung Le
Paul Montague
O. Vel
Tamas Abraham
Dinh Q. Phung
AAML
62
8
0
03 Oct 2019
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
72
11
0
02 Oct 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Han Xu
Yao Ma
Haochen Liu
Debayan Deb
Hui Liu
Jiliang Tang
Anil K. Jain
AAML
79
680
0
17 Sep 2019
Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model
Prashanth Vijayaraghavan
D. Roy
AAML
49
36
0
17 Sep 2019
Adversarial Attack on Skeleton-based Human Action Recognition
Jian Liu
Naveed Akhtar
Ajmal Mian
AAML
67
68
0
14 Sep 2019
Sparse and Imperceivable Adversarial Attacks
Francesco Croce
Matthias Hein
AAML
110
199
0
11 Sep 2019
Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ?
Alfred Laugros
A. Caplier
Matthieu Ospici
AAML
56
40
0
04 Sep 2019
AdvFaces: Adversarial Face Synthesis
Debayan Deb
Jianbang Zhang
Anil K. Jain
GAN
CVBM
AAML
PICV
99
129
0
14 Aug 2019
Understanding Adversarial Robustness Through Loss Landscape Geometries
Vinay Uday Prabhu
Dian Ang Yap
Joyce Xu
John Whaley
AAML
58
17
0
22 Jul 2019
Characterizing Attacks on Deep Reinforcement Learning
Xinlei Pan
Chaowei Xiao
Warren He
Shuang Yang
Jian Peng
...
Jinfeng Yi
Zijiang Yang
Mingyan D. Liu
Yue Liu
Basel Alomair
AAML
104
70
0
21 Jul 2019
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Basel Alomair
OODD
307
1,487
0
16 Jul 2019
Previous
1
2
3
4
5
Next