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Adversarial examples in the physical world
v1v2v3v4 (latest)

Adversarial examples in the physical world

8 July 2016
Alexey Kurakin
Ian Goodfellow
Samy Bengio
    SILMAAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial examples in the physical world"

50 / 2,769 papers shown
Title
Associative Adversarial Learning Based on Selective Attack
Associative Adversarial Learning Based on Selective Attack
Runqi Wang
Xiaoyue Duan
Baochang Zhang
Shenjun Xue
Wentao Zhu
David Doermann
G. Guo
AAML
72
0
0
28 Dec 2021
NeuronFair: Interpretable White-Box Fairness Testing through Biased
  Neuron Identification
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification
Haibin Zheng
Zhiqing Chen
Tianyu Du
Xuhong Zhang
Yao Cheng
S. Ji
Jingyi Wang
Yue Yu
Jinyin Chen
80
58
0
25 Dec 2021
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping
B. Ghavami
Seyd Movi
Zhenman Fang
Lesley Shannon
AAML
64
9
0
25 Dec 2021
Parameter identifiability of a deep feedforward ReLU neural network
Parameter identifiability of a deep feedforward ReLU neural network
Joachim Bona-Pellissier
François Bachoc
François Malgouyres
95
17
0
24 Dec 2021
Adversarial Attacks against Windows PE Malware Detection: A Survey of
  the State-of-the-Art
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art
Xiang Ling
Lingfei Wu
Jiangyu Zhang
Zhenqing Qu
Wei Deng
...
Chunming Wu
S. Ji
Tianyue Luo
Jingzheng Wu
Yanjun Wu
AAML
145
83
0
23 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial
  Robustness?
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinhsuai Dong
Anh Tuan Luu
Min Lin
Shuicheng Yan
Hanwang Zhang
SILMAAML
71
62
0
22 Dec 2021
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained
  Input-Adaptation
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation
Zhongzhi Yu
Y. Fu
Sicheng Li
Chaojian Li
Yingyan Lin
ViT
76
19
0
21 Dec 2021
Adversarially Robust Stability Certificates can be Sample-Efficient
Adversarially Robust Stability Certificates can be Sample-Efficient
Thomas T. Zhang
Stephen Tu
Nicholas M. Boffi
Jean-Jacques E. Slotine
Nikolai Matni
AAML
77
7
0
20 Dec 2021
Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network
An Tao
Yueqi Duan
He Wang
Ziyi Wu
Pengliang Ji
Haowen Sun
Jie Zhou
Jiwen Lu
160
1
0
17 Dec 2021
Robust Upper Bounds for Adversarial Training
Robust Upper Bounds for Adversarial Training
Dimitris Bertsimas
Xavier Boix
Kimberly Villalobos Carballo
D. Hertog
AAML
85
0
0
17 Dec 2021
All You Need is RAW: Defending Against Adversarial Attacks with Camera
  Image Pipelines
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
Yuxuan Zhang
B. Dong
Felix Heide
AAML
59
8
0
16 Dec 2021
Deep Reinforcement Learning Policies Learn Shared Adversarial Features
  Across MDPs
Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs
Ezgi Korkmaz
62
26
0
16 Dec 2021
Towards Robust Neural Image Compression: Adversarial Attack and Model
  Finetuning
Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning
Tong Chen
Zhan Ma
AAML
73
32
0
16 Dec 2021
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
287
350
0
15 Dec 2021
Temporal Shuffling for Defending Deep Action Recognition Models against
  Adversarial Attacks
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks
Ian Ryu
Huan Zhang
Jun-Ho Choi
Cho-Jui Hsieh
Jong-Seok Lee
AAML
79
5
0
15 Dec 2021
On the Impact of Hard Adversarial Instances on Overfitting in
  Adversarial Training
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
Chen Liu
Zhichao Huang
Mathieu Salzmann
Tong Zhang
Sabine Süsstrunk
AAML
97
13
0
14 Dec 2021
Real-Time Neural Voice Camouflage
Real-Time Neural Voice Camouflage
Mia Chiquier
Chengzhi Mao
Carl Vondrick
81
6
0
14 Dec 2021
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Xiaosen Wang
Zeliang Zhang
Kangheng Tong
Dihong Gong
Kun He
Zhifeng Li
Wei Liu
AAML
92
62
0
13 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and
  Generalizable Defenses
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses
Chun Pong Lau
Jiang-Long Liu
Hossein Souri
Wei-An Lin
Soheil Feizi
Ramalingam Chellappa
AAML
81
13
0
12 Dec 2021
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction
  Models in Healthcare
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare
Muchao Ye
Junyu Luo
Guanjie Zheng
Cao Xiao
Ting Wang
Fenglong Ma
AAML
55
3
0
11 Dec 2021
Improving the Transferability of Adversarial Examples with
  Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting
Junhua Zou
Zhisong Pan
Junyang Qiu
Xin Liu
Ting Rui
Wei Li
78
69
0
11 Dec 2021
Cross-Modal Transferable Adversarial Attacks from Images to Videos
Cross-Modal Transferable Adversarial Attacks from Images to Videos
Zhipeng Wei
Jingjing Chen
Zuxuan Wu
Yu-Gang Jiang
AAML
85
42
0
10 Dec 2021
Learning to Learn Transferable Attack
Learning to Learn Transferable Attack
Shuman Fang
Jie Li
Xianming Lin
Rongrong Ji
AAML
101
21
0
10 Dec 2021
The Fundamental Limits of Interval Arithmetic for Neural Networks
The Fundamental Limits of Interval Arithmetic for Neural Networks
M. Mirman
Maximilian Baader
Martin Vechev
44
6
0
09 Dec 2021
On visual self-supervision and its effect on model robustness
On visual self-supervision and its effect on model robustness
Michal Kucer
Diane Oyen
Garrett Kenyon
AAMLOOD
48
0
0
08 Dec 2021
DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance
  Improves Out-Of-Distribution Face Identification
DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification
Hai T. Phan
Anh Totti Nguyen
CVBM
108
24
0
07 Dec 2021
Saliency Diversified Deep Ensemble for Robustness to Adversaries
Saliency Diversified Deep Ensemble for Robustness to Adversaries
Alexander A. Bogun
Dimche Kostadinov
Damian Borth
AAMLFedML
55
5
0
07 Dec 2021
Decision-based Black-box Attack Against Vision Transformers via
  Patch-wise Adversarial Removal
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal
Yucheng Shi
Yahong Han
Yu-an Tan
Xiaohui Kuang
111
31
0
07 Dec 2021
ML Attack Models: Adversarial Attacks and Data Poisoning Attacks
ML Attack Models: Adversarial Attacks and Data Poisoning Attacks
Jing Lin
Long Dang
Mohamed Rahouti
Kaiqi Xiong
AAML
80
48
0
06 Dec 2021
Toward a Taxonomy of Trust for Probabilistic Machine Learning
Toward a Taxonomy of Trust for Probabilistic Machine Learning
Tamara Broderick
Andrew Gelman
Rachael Meager
Anna L. Smith
Tian Zheng
79
11
0
05 Dec 2021
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis
  Testing
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing
Bhagyashree Puranik
Upamanyu Madhow
Ramtin Pedarsani
AAML
50
4
0
04 Dec 2021
Catch Me If You Can: Blackbox Adversarial Attacks on Automatic Speech
  Recognition using Frequency Masking
Catch Me If You Can: Blackbox Adversarial Attacks on Automatic Speech Recognition using Frequency Masking
Xiao-lan Wu
A. Rajan
AAML
90
5
0
03 Dec 2021
Attack-Centric Approach for Evaluating Transferability of Adversarial
  Samples in Machine Learning Models
Attack-Centric Approach for Evaluating Transferability of Adversarial Samples in Machine Learning Models
Tochukwu Idika
Ismail Akturk
SILMAAML
40
0
0
03 Dec 2021
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial
  Robustness?
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
P. Lorenz
Dominik Strassel
Margret Keuper
J. Keuper
AAML
73
10
0
02 Dec 2021
Human Imperceptible Attacks and Applications to Improve Fairness
Human Imperceptible Attacks and Applications to Improve Fairness
Xinru Hua
Huanzhong Xu
Jose H. Blanchet
V. Nguyen
AAML
74
3
0
30 Nov 2021
Reliability Assessment and Safety Arguments for Machine Learning
  Components in System Assurance
Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance
Yizhen Dong
Wei Huang
Vibhav Bharti
V. Cox
Alec Banks
Sen Wang
Xingyu Zhao
S. Schewe
Xiaowei Huang
72
16
0
30 Nov 2021
DeepAL: Deep Active Learning in Python
DeepAL: Deep Active Learning in Python
Kuan-Hao Huang
AI4CE
106
17
0
30 Nov 2021
Using a GAN to Generate Adversarial Examples to Facial Image Recognition
Using a GAN to Generate Adversarial Examples to Facial Image Recognition
Andrew Merrigan
Alan F. Smeaton
PICVGAN
29
5
0
30 Nov 2021
Mitigating Adversarial Attacks by Distributing Different Copies to
  Different Users
Mitigating Adversarial Attacks by Distributing Different Copies to Different Users
Jiyi Zhang
Hansheng Fang
W. Tann
Ke Xu
Chengfang Fang
E. Chang
AAML
79
3
0
30 Nov 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial
  and Survey
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
GAN
108
12
0
26 Nov 2021
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural
  Networks
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks
Xiangyu Qi
Tinghao Xie
Ruizhe Pan
Jifeng Zhu
Yong-Liang Yang
Kai Bu
AAML
93
60
0
25 Nov 2021
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
Xiaoyi Dong
Jianmin Bao
Ting Zhang
Dongdong Chen
Weiming Zhang
Lu Yuan
Dong Chen
Fang Wen
Nenghai Yu
Baining Guo
ViT
150
246
0
24 Nov 2021
Unity is strength: Improving the Detection of Adversarial Examples with
  Ensemble Approaches
Unity is strength: Improving the Detection of Adversarial Examples with Ensemble Approaches
Francesco Craighero
Fabrizio Angaroni
Fabio Stella
Chiara Damiani
M. Antoniotti
Alex Graudenzi
AAML
70
8
0
24 Nov 2021
Thundernna: a white box adversarial attack
Thundernna: a white box adversarial attack
Linfeng Ye
Shayan Mohajer Hamidi
AAML
43
5
0
24 Nov 2021
Adversarial Examples on Segmentation Models Can be Easy to Transfer
Adversarial Examples on Segmentation Models Can be Easy to Transfer
Jindong Gu
Hengshuang Zhao
Volker Tresp
Philip Torr
AAML
76
14
0
22 Nov 2021
Evaluating Adversarial Attacks on ImageNet: A Reality Check on
  Misclassification Classes
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes
Utku Ozbulak
Maura Pintor
Arnout Van Messem
W. D. Neve
AAML
48
5
0
22 Nov 2021
Denoised Internal Models: a Brain-Inspired Autoencoder against
  Adversarial Attacks
Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks
Kaiyuan Liu
Xingyu Li
Yu-Rui Lai
Hong Xie
Hang Su
Jiacheng Wang
Chunxu Guo
J. Guan
Yi Zhou
AAML
89
4
0
21 Nov 2021
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the
  Adversarial Transferability
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
Yifeng Xiong
Jiadong Lin
Min Zhang
John E. Hopcroft
Kun He
AAML
126
114
0
21 Nov 2021
Modeling Design and Control Problems Involving Neural Network Surrogates
Modeling Design and Control Problems Involving Neural Network Surrogates
Dominic Yang
Prasanna Balaprakash
S. Leyffer
42
15
0
20 Nov 2021
Meta Adversarial Perturbations
Meta Adversarial Perturbations
Chia-Hung Yuan
Pin-Yu Chen
Chia-Mu Yu
AAML
87
2
0
19 Nov 2021
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