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1607.02533
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Adversarial examples in the physical world
8 July 2016
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
Re-assign community
ArXiv (abs)
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Papers citing
"Adversarial examples in the physical world"
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Title
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64
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Importance-Driven Deep Learning System Testing
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Alper Çakan
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Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples
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Paarth Neekhara
Malhar Jere
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100
154
0
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Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification
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Satya Narayan Shukla
B. Jalaeian
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45
6
0
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RAID: Randomized Adversarial-Input Detection for Neural Networks
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Valentin Wüstholz
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69
15
0
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Quasi-Equivalence of Width and Depth of Neural Networks
Fenglei Fan
Rongjie Lai
Ge Wang
72
11
0
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AI-GAN: Attack-Inspired Generation of Adversarial Examples
Tao Bai
Jun Zhao
Jinlin Zhu
Shoudong Han
Jiefeng Chen
Yue Liu
Alex C. Kot
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96
51
0
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Yao Deng
Xi Zheng
Tianyi Zhang
Chen Chen
Guannan Lou
Miryung Kim
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59
143
0
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Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels
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Y. Sagduyu
Kemal Davaslioglu
T. Erpek
S. Ulukus
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125
70
0
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Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study
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Florens Greßner
W. Günther
M. Motta
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69
34
0
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Tianle Chen
Surya Nepal
Carsten Rudolph
M. Grobler
Shangyu Chen
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53
7
0
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Zhuoran Liu
Martha Larson
80
1
0
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Regularizers for Single-step Adversarial Training
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R. Venkatesh Babu
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56
7
0
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AdvJND: Generating Adversarial Examples with Just Noticeable Difference
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Kai Qiao
Lingyun Jiang
Linyuan Wang
Bin Yan
AAML
54
9
0
01 Feb 2020
Tiny noise, big mistakes: Adversarial perturbations induce errors in Brain-Computer Interface spellers
Xiao Zhang
Dongrui Wu
L. Ding
Hanbin Luo
Chin-Teng Lin
T. Jung
Ricardo Chavarriaga
AAML
91
60
0
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Just Noticeable Difference for Machines to Generate Adversarial Images
Adil Kaan Akan
M. Genc
Fatoş T. Yarman Vural
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32
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0
29 Jan 2020
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications
Xiaotong Gu
Zehong Cao
A. Jolfaei
Peng Xu
Dongrui Wu
T. Jung
Chin-Teng Lin
69
243
0
28 Jan 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Inaam Ilahi
Muhammad Usama
Junaid Qadir
M. Janjua
Ala I. Al-Fuqaha
D. Hoang
Dusit Niyato
AAML
147
137
0
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Explaining with Counter Visual Attributes and Examples
Sadaf Gulshad
A. Smeulders
XAI
FAtt
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77
15
0
27 Jan 2020
Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous Vehicles
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Senem Velipasalar
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41
7
0
25 Jan 2020
TEAM: An Taylor Expansion-Based Method for Generating Adversarial Examples
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Xi-Ming Zhang
Wassim Swaileh
Li Wei
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Wujie Zhou
Jing-Sheng Lei
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36
0
0
23 Jan 2020
Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP
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Xu Zhong
Antonio Jimeno Yepes
Jey Han Lau
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63
10
0
22 Jan 2020
GhostImage: Remote Perception Attacks against Camera-based Image Classification Systems
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Ming Li
Ryan M. Gerdes
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85
8
0
21 Jan 2020
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning
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Haekyu Park
Zijie J. Wang
Fred Hohman
Robert Firstman
Emily Rogers
Duen Horng Chau
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69
7
0
21 Jan 2020
Adequate and fair explanations
Nicholas M. Asher
Soumya Paul
Chris Russell
68
9
0
21 Jan 2020
Secure and Robust Machine Learning for Healthcare: A Survey
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Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
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98
392
0
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A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
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Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
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109
847
0
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Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks
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Ali Mirzaeian
Mohammad Sabokrou
S. Manoj
T. Mohsenin
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Houman Homayoun
Avesta Sasan
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48
15
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A Little Fog for a Large Turn
Harshitha Machiraju
V. Balasubramanian
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67
10
0
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Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet
Sizhe Chen
Zhengbao He
Chengjin Sun
Jie Yang
Xiaolin Huang
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112
105
0
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Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning
R. Schuster
Tal Schuster
Yoav Meri
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65
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0
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Advbox: a toolbox to generate adversarial examples that fool neural networks
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Xin Hao
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Yuesheng Wu
Junfeng Xiong
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138
55
0
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Fast is better than free: Revisiting adversarial training
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Leslie Rice
J. Zico Kolter
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174
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ReluDiff: Differential Verification of Deep Neural Networks
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Jingbo Wang
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167
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Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations
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Wonjune Cho
Kuk-Jin Yoon
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79
25
0
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Generating Semantic Adversarial Examples via Feature Manipulation
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Surya Nepal
Carsten Rudolph
M. Grobler
Shangyu Chen
Tianle Chen
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83
12
0
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The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems
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Vegard Antun
A. Hansen
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87
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The Human Visual System and Adversarial AI
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S. Wookey
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0
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Jason M. O'Kane
Pooyan Jamshidi
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57
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Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
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Xing Hu
Lei Deng
Yujie Wu
Guoqi Li
Yufei Ding
Peng Li
Yuan Xie
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122
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Quantum Adversarial Machine Learning
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L. Duan
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115
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Recognizing Instagram Filtered Images with Feature De-stylization
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Zuxuan Wu
Bharat Singh
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75
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Defending from adversarial examples with a two-stream architecture
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X. Tu
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Zheng Ma
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1
0
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Benchmarking Adversarial Robustness
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Qi-An Fu
Xiao Yang
Tianyu Pang
Hang Su
Zihao Xiao
Jun Zhu
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108
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A Survey of Deep Learning Applications to Autonomous Vehicle Control
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Richard Bowden
Yaochu Jin
P. Barber
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122
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Adversarial symmetric GANs: bridging adversarial samples and adversarial networks
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M. Xu
Guoqi Li
Jing Pei
Luping Shi
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11
0
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Mitigating large adversarial perturbations on X-MAS (X minus Moving Averaged Samples)
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An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
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Ruijia Xu
Ruiyu Li
Xiaojuan Qi
Xiaoyong Shen
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Liang Lin
64
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0
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Detecting Adversarial Attacks On Audiovisual Speech Recognition
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Stavros Petridis
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