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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
Joint Adversarial Training: Incorporating both Spatial and Pixel Attacks
Haichao Zhang
Jianyu Wang
235
4
0
24 Jul 2019
Understanding Adversarial Robustness Through Loss Landscape Geometries
Vinay Uday Prabhu
Dian Ang Yap
Joyce Xu
John Whaley
AAML
123
19
0
22 Jul 2019
Characterizing Attacks on Deep Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2019
Xinlei Pan
Chaowei Xiao
Warren He
Shuang Yang
Jian Peng
...
Jinfeng Yi
Zijiang Yang
Mingyan D. Liu
Yue Liu
Basel Alomair
AAML
235
77
0
21 Jul 2019
Natural Adversarial Examples
Computer Vision and Pattern Recognition (CVPR), 2019
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Basel Alomair
OODD
988
1,748
0
16 Jul 2019
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving
Conference on Computer and Communications Security (CCS), 2019
Yulong Cao
Chaowei Xiao
Benjamin Cyr
Yimeng Zhou
Wonseok Park
Sara Rampazzi
Qi Alfred Chen
Kevin Fu
Z. Morley Mao
AAML
228
601
0
16 Jul 2019
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems
Yulong Cao
Chaowei Xiao
Dawei Yang
Jin Fang
Ruigang Yang
Mingyan D. Liu
Yue Liu
3DPC
AAML
193
159
0
11 Jul 2019
Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield
Dou Goodman
Tao Wei
AAML
164
6
0
19 Jun 2019
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
European Conference on Computer Vision (ECCV), 2019
Haonan Qiu
Chaowei Xiao
Lei Yang
Xinchen Yan
Honglak Lee
Yue Liu
AAML
343
197
0
19 Jun 2019
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks
F. Assion
Peter Schlicht
Florens Greßner
W. Günther
Fabian Hüger
Nico M. Schmidt
Umair Rasheed
AAML
152
16
0
17 Jun 2019
Towards Stable and Efficient Training of Verifiably Robust Neural Networks
International Conference on Learning Representations (ICLR), 2019
Huan Zhang
Hongge Chen
Chaowei Xiao
Sven Gowal
Robert Stanforth
Yue Liu
Duane S. Boning
Cho-Jui Hsieh
AAML
373
373
0
14 Jun 2019
Adversarial Attack Generation Empowered by Min-Max Optimization
Neural Information Processing Systems (NeurIPS), 2019
Jingkang Wang
Tianyun Zhang
Sijia Liu
Pin-Yu Chen
Jiacen Xu
M. Fardad
Yangqiu Song
AAML
371
44
0
09 Jun 2019
Efficient Project Gradient Descent for Ensemble Adversarial Attack
Fanyou Wu
R. Gazo
E. Haviarova
Bedrich Benes
AAML
81
6
0
07 Jun 2019
Functional Adversarial Attacks
Neural Information Processing Systems (NeurIPS), 2019
Cassidy Laidlaw
Soheil Feizi
AAML
322
196
0
29 May 2019
Interpreting Adversarially Trained Convolutional Neural Networks
International Conference on Machine Learning (ICML), 2019
Tianyuan Zhang
Zhanxing Zhu
AAML
GAN
FAtt
299
169
0
23 May 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain
IEEE Transactions on Dependable and Secure Computing (TDSC), 2019
Lei Bu
Yuchao Duan
Fu Song
Zhe Zhao
AAML
381
23
0
19 May 2019
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models
International Joint Conference on Artificial Intelligence (IJCAI), 2019
M. Singh
Abhishek Sinha
Nupur Kumari
Harshitha Machiraju
Balaji Krishnamurthy
V. Balasubramanian
AAML
196
66
0
13 May 2019
ROSA: Robust Salient Object Detection against Adversarial Attacks
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2019
Haofeng Li
Guanbin Li
Yizhou Yu
AAML
188
31
0
09 May 2019
Transfer of Adversarial Robustness Between Perturbation Types
Daniel Kang
Yi Sun
Tom B. Brown
Dan Hendrycks
Jacob Steinhardt
AAML
217
50
0
03 May 2019
Making Convolutional Networks Shift-Invariant Again
Richard Y. Zhang
OOD
414
896
0
25 Apr 2019
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers
Ameya Joshi
Amitangshu Mukherjee
Soumik Sarkar
Chinmay Hegde
AAML
258
108
0
17 Apr 2019
Unrestricted Adversarial Examples via Semantic Manipulation
Anand Bhattad
Min Jin Chong
Kaizhao Liang
Yangqiu Song
David A. Forsyth
AAML
174
174
0
12 Apr 2019
Learning to Generate Synthetic Data via Compositing
Shashank Tripathi
Siddhartha Chandra
Amit Agrawal
A. Tyagi
James M. Rehg
Visesh Chari
283
130
0
10 Apr 2019
Interpreting Adversarial Examples by Activation Promotion and Suppression
Kaidi Xu
Sijia Liu
Gaoyuan Zhang
Mengshu Sun
Pu Zhao
Quanfu Fan
Chuang Gan
Xinyu Lin
AAML
FAtt
351
46
0
03 Apr 2019
SpaceNet MVOI: a Multi-View Overhead Imagery Dataset
N. Weir
David Lindenbaum
A. Bastidas
A. V. Etten
Sean McPherson
Jacob Shermeyer
V. Vijay
Hanlin Tang
180
77
0
28 Mar 2019
Rallying Adversarial Techniques against Deep Learning for Network Security
Joseph Clements
Yuzhe Yang
Ankur A Sharma
Hongxin Hu
Yingjie Lao
AAML
168
58
0
27 Mar 2019
Quantifying Perceptual Distortion of Adversarial Examples
Matt Jordan
N. Manoj
Surbhi Goel
A. Dimakis
124
40
0
21 Feb 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Eric Wong
Frank R. Schmidt
J. Zico Kolter
AAML
258
222
0
21 Feb 2019
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
G. Ding
Luyu Wang
Xiaomeng Jin
213
197
0
20 Feb 2019
Do ImageNet Classifiers Generalize to ImageNet?
International Conference on Machine Learning (ICML), 2019
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
SSeg
VLM
465
2,012
0
13 Feb 2019
Adversarial Examples Are a Natural Consequence of Test Error in Noise
International Conference on Machine Learning (ICML), 2019
Nic Ford
Justin Gilmer
Nicholas Carlini
E. D. Cubuk
AAML
350
332
0
29 Jan 2019
Theoretically Principled Trade-off between Robustness and Accuracy
Hongyang R. Zhang
Yaodong Yu
Jiantao Jiao
Eric Xing
L. Ghaoui
Sai Li
735
2,861
0
24 Jan 2019
Adversarial Attack and Defense on Graph Data: A Survey
Lichao Sun
Yingtong Dou
Carl Yang
Ji Wang
Yixin Liu
Philip S. Yu
Lifang He
Yangqiu Song
GNN
AAML
426
353
0
26 Dec 2018
A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability
Xiaowei Huang
Daniel Kroening
Wenjie Ruan
Marta Kwiatkowska
Youcheng Sun
Emese Thamo
Min Wu
Xinping Yi
AAML
495
52
0
18 Dec 2018
Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing
Jingyi Wang
Guoliang Dong
Jun Sun
Xinyu Wang
Peixin Zhang
AAML
224
204
0
14 Dec 2018
Interpretable Deep Learning under Fire
Xinyang Zhang
Ningfei Wang
Hua Shen
S. Ji
Xiapu Luo
Ting Wang
AAML
AI4CE
243
186
0
03 Dec 2018
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
650
305
0
03 Dec 2018
Adversarial Examples as an Input-Fault Tolerance Problem
A. Galloway
A. Golubeva
Graham W. Taylor
SILM
AAML
109
0
0
30 Nov 2018
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network
Q. Song
Yingqi Wu
Pu Cao
AAML
CVBM
GAN
305
103
0
29 Nov 2018
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
Michael A. Alcorn
Melvin Johnson
Zhitao Gong
Chengfei Wang
Long Mai
Naveen Ari
Stella Laurenzo
406
316
0
28 Nov 2018
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition
Jenn-Bing Ong
W. Ng
C.-C. Jay Kuo
AAML
137
1
0
20 Nov 2018
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning
Conference on Computer and Communications Security (CCS), 2018
K. Makarychev
Pascal Dupré
Yury Makarychev
Giancarlo Pellegrino
Dan Boneh
AAML
263
65
0
08 Nov 2018
SparseFool: a few pixels make a big difference
Computer Vision and Pattern Recognition (CVPR), 2018
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
331
217
0
06 Nov 2018
Data Poisoning Attack against Unsupervised Node Embedding Methods
Mingjie Sun
Jian Tang
Huichen Li
Yue Liu
Chaowei Xiao
Yao-Liang Chen
Basel Alomair
GNN
AAML
155
69
0
30 Oct 2018
Cost-Sensitive Robustness against Adversarial Examples
Xiao Zhang
David Evans
AAML
182
26
0
22 Oct 2018
MeshAdv: Adversarial Meshes for Visual Recognition
Chaowei Xiao
Dawei Yang
Yue Liu
Gaowen Liu
M. Liu
AAML
187
26
0
11 Oct 2018
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation
Chaowei Xiao
Ruizhi Deng
Yue Liu
Feng Yu
M. Liu
Basel Alomair
AAML
185
103
0
11 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon
A. Serban
E. Poll
Joost Visser
SILM
AAML
253
50
0
02 Oct 2018
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks
Kenneth T. Co
Luis Muñoz-González
Sixte de Maupeou
Emil C. Lupu
AAML
424
73
0
30 Sep 2018
Fast Geometrically-Perturbed Adversarial Faces
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2018
Ali Dabouei
Sobhan Soleymani
J. Dawson
Nasser M. Nasrabadi
CVBM
AAML
191
70
0
24 Sep 2018
Generating 3D Adversarial Point Clouds
Chong Xiang
C. Qi
Yue Liu
3DPC
250
354
0
19 Sep 2018
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