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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 / 219 papers shown
Title
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving
Yulong Cao
Chaowei Xiao
Benjamin Cyr
Yimeng Zhou
Wonseok Park
Sara Rampazzi
Qi Alfred Chen
Kevin Fu
Z. Morley Mao
AAML
63
544
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
86
142
0
11 Jul 2019
Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield
Dou Goodman
Tao Wei
AAML
69
6
0
19 Jun 2019
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
Haonan Qiu
Chaowei Xiao
Lei Yang
Xinchen Yan
Honglak Lee
Yue Liu
AAML
69
172
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
75
14
0
17 Jun 2019
Towards Stable and Efficient Training of Verifiably Robust Neural Networks
Huan Zhang
Hongge Chen
Chaowei Xiao
Sven Gowal
Robert Stanforth
Yue Liu
Duane S. Boning
Cho-Jui Hsieh
AAML
109
351
0
14 Jun 2019
Adversarial Attack Generation Empowered by Min-Max Optimization
Jingkang Wang
Tianyun Zhang
Sijia Liu
Pin-Yu Chen
Jiacen Xu
M. Fardad
Yangqiu Song
AAML
83
39
0
09 Jun 2019
Efficient Project Gradient Descent for Ensemble Adversarial Attack
Fanyou Wu
R. Gazo
E. Haviarova
Bedrich Benes
AAML
33
5
0
07 Jun 2019
Functional Adversarial Attacks
Cassidy Laidlaw
Soheil Feizi
AAML
100
185
0
29 May 2019
Interpreting Adversarially Trained Convolutional Neural Networks
Tianyuan Zhang
Zhanxing Zhu
AAML
GAN
FAtt
125
161
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
Lei Bu
Yuchao Duan
Fu Song
Zhe Zhao
AAML
114
18
0
19 May 2019
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models
M. Singh
Abhishek Sinha
Nupur Kumari
Harshitha Machiraju
Balaji Krishnamurthy
V. Balasubramanian
AAML
56
61
0
13 May 2019
ROSA: Robust Salient Object Detection against Adversarial Attacks
Haofeng Li
Guanbin Li
Yizhou Yu
AAML
75
29
0
09 May 2019
Transfer of Adversarial Robustness Between Perturbation Types
Daniel Kang
Yi Sun
Tom B. Brown
Dan Hendrycks
Jacob Steinhardt
AAML
71
49
0
03 May 2019
Making Convolutional Networks Shift-Invariant Again
Richard Y. Zhang
OOD
105
799
0
25 Apr 2019
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers
Ameya Joshi
Amitangshu Mukherjee
Soumik Sarkar
Chinmay Hegde
AAML
92
100
0
17 Apr 2019
Unrestricted Adversarial Examples via Semantic Manipulation
Anand Bhattad
Min Jin Chong
Kaizhao Liang
Yangqiu Song
David A. Forsyth
AAML
85
153
0
12 Apr 2019
Learning to Generate Synthetic Data via Compositing
Shashank Tripathi
Siddhartha Chandra
Amit Agrawal
A. Tyagi
James M. Rehg
Visesh Chari
105
120
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
147
43
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
83
71
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
80
52
0
27 Mar 2019
Quantifying Perceptual Distortion of Adversarial Examples
Matt Jordan
N. Manoj
Surbhi Goel
A. Dimakis
68
39
0
21 Feb 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Eric Wong
Frank R. Schmidt
J. Zico Kolter
AAML
95
211
0
21 Feb 2019
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
G. Ding
Luyu Wang
Xiaomeng Jin
79
183
0
20 Feb 2019
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
SSeg
VLM
138
1,733
0
13 Feb 2019
Adversarial Examples Are a Natural Consequence of Test Error in Noise
Nic Ford
Justin Gilmer
Nicholas Carlini
E. D. Cubuk
AAML
140
320
0
29 Jan 2019
Theoretically Principled Trade-off between Robustness and Accuracy
Hongyang R. Zhang
Yaodong Yu
Jiantao Jiao
Eric Xing
L. Ghaoui
Michael I. Jordan
259
2,566
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
139
286
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
132
51
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
80
191
0
14 Dec 2018
Interpretable Deep Learning under Fire
Xinyang Zhang
Ningfei Wang
Hua Shen
S. Ji
Xiapu Luo
Ting Wang
AAML
AI4CE
138
174
0
03 Dec 2018
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
313
285
0
03 Dec 2018
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network
Q. Song
Yingqi Wu
Lu Yang
AAML
CVBM
GAN
125
98
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
115
299
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
55
0
0
20 Nov 2018
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning
K. Makarychev
Pascal Dupré
Yury Makarychev
Giancarlo Pellegrino
Dan Boneh
AAML
104
64
0
08 Nov 2018
SparseFool: a few pixels make a big difference
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
72
200
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
50
67
0
30 Oct 2018
MeshAdv: Adversarial Meshes for Visual Recognition
Chaowei Xiao
Dawei Yang
Yue Liu
Jia Deng
M. Liu
AAML
63
25
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
59
99
0
11 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon
A. Serban
E. Poll
Joost Visser
SILM
AAML
102
49
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
74
67
0
30 Sep 2018
Fast Geometrically-Perturbed Adversarial Faces
Ali Dabouei
Sobhan Soleymani
J. Dawson
Nasser M. Nasrabadi
CVBM
AAML
64
65
0
24 Sep 2018
Generating 3D Adversarial Point Clouds
Chong Xiang
C. Qi
Yue Liu
3DPC
117
294
0
19 Sep 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing
Xiaofei Xie
Lei Ma
Felix Juefei Xu
Hongxu Chen
Minhui Xue
Yue Liu
Yang Liu
Jianjun Zhao
Jianxiong Yin
Simon See
116
41
0
04 Sep 2018
Defense Against Adversarial Attacks with Saak Transform
Sibo Song
Yueru Chen
Ngai-Man Cheung
C.-C. Jay Kuo
69
24
0
06 Aug 2018
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
D. Su
Huan Zhang
Hongge Chen
Jinfeng Yi
Pin-Yu Chen
Yupeng Gao
VLM
140
393
0
05 Aug 2018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu
Sijia Liu
Pu Zhao
Pin-Yu Chen
Huan Zhang
Quanfu Fan
Deniz Erdogmus
Yanzhi Wang
Xinyu Lin
AAML
126
162
0
05 Aug 2018
Attack and defence in cellular decision-making: lessons from machine learning
Thomas J. Rademaker
Emmanuel Bengio
P. Franccois
AAML
51
4
0
10 Jul 2018
DeepLaser: Practical Fault Attack on Deep Neural Networks
J. Breier
Xiaolu Hou
Dirmanto Jap
Lei Ma
S. Bhasin
Yang Liu
AAML
AI4CE
80
19
0
15 Jun 2018
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