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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
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D
  Models
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models
Mohammed Hassanin
Nour Moustafa
M. Tahtali
AAML
64
2
0
08 Dec 2020
I'm Sorry for Your Loss: Spectrally-Based Audio Distances Are Bad at
  Pitch
I'm Sorry for Your Loss: Spectrally-Based Audio Distances Are Bad at Pitch
Joseph P. Turian
Max Henry
49
31
0
08 Dec 2020
Advocating for Multiple Defense Strategies against Adversarial Examples
Advocating for Multiple Defense Strategies against Adversarial Examples
Alexandre Araujo
Laurent Meunier
Rafael Pinot
Benjamin Négrevergne
AAML
40
9
0
04 Dec 2020
Channel Effects on Surrogate Models of Adversarial Attacks against
  Wireless Signal Classifiers
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers
Brian Kim
Y. Sagduyu
T. Erpek
Kemal Davaslioglu
S. Ulukus
AAML
70
20
0
03 Dec 2020
An Empirical Study of Derivative-Free-Optimization Algorithms for
  Targeted Black-Box Attacks in Deep Neural Networks
An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks
Giuseppe Ughi
V. Abrol
Jared Tanner
AAML
65
13
0
03 Dec 2020
FenceBox: A Platform for Defeating Adversarial Examples with Data
  Augmentation Techniques
FenceBox: A Platform for Defeating Adversarial Examples with Data Augmentation Techniques
Han Qiu
Yi Zeng
Tianwei Zhang
Yong Jiang
Meikang Qiu
AAML
44
15
0
03 Dec 2020
Content-Adaptive Pixel Discretization to Improve Model Robustness
Content-Adaptive Pixel Discretization to Improve Model Robustness
Ryan Feng
Wu-chi Feng
Atul Prakash
AAML
37
0
0
03 Dec 2020
Towards Defending Multiple $\ell_p$-norm Bounded Adversarial
  Perturbations via Gated Batch Normalization
Towards Defending Multiple ℓp\ell_pℓp​-norm Bounded Adversarial Perturbations via Gated Batch Normalization
Aishan Liu
Shiyu Tang
Xinyun Chen
Lei Huang
Zhuozhuo Tu
Xianglong Liu
Dacheng Tao
AAML
110
35
0
03 Dec 2020
Visually Imperceptible Adversarial Patch Attacks on Digital Images
Visually Imperceptible Adversarial Patch Attacks on Digital Images
Yaguan Qian
Jiamin Wang
Bin Wang
Xiang Ling
Zhaoquan Gu
Chunming Wu
Wassim Swaileh
AAML
66
2
0
02 Dec 2020
Boosting Adversarial Attacks on Neural Networks with Better Optimizer
Boosting Adversarial Attacks on Neural Networks with Better Optimizer
Heng Yin
Hengwei Zhang
Jin-dong Wang
Ruiyu Dou
AAML
76
8
0
01 Dec 2020
Inductive Biases for Deep Learning of Higher-Level Cognition
Inductive Biases for Deep Learning of Higher-Level Cognition
Anirudh Goyal
Yoshua Bengio
AI4CE
120
366
0
30 Nov 2020
Guided Adversarial Attack for Evaluating and Enhancing Adversarial
  Defenses
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
Gaurang Sriramanan
Sravanti Addepalli
Arya Baburaj
R. Venkatesh Babu
AAML
82
95
0
30 Nov 2020
Just One Moment: Structural Vulnerability of Deep Action Recognition
  against One Frame Attack
Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack
Ian Ryu
Jun-Hyuk Kim
Jun-Ho Choi
Jong-Seok Lee
AAML
97
18
0
30 Nov 2020
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images
Debayan Deb
Xiaoming Liu
Anil K. Jain
CVBMAAMLPICV
98
27
0
28 Nov 2020
Incorporating Hidden Layer representation into Adversarial Attacks and
  Defences
Incorporating Hidden Layer representation into Adversarial Attacks and Defences
Haojing Shen
Sihong Chen
Ran Wang
Xizhao Wang
AAML
61
0
0
28 Nov 2020
A Study on the Uncertainty of Convolutional Layers in Deep Neural
  Networks
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks
Hao Shen
Sihong Chen
Ran Wang
70
5
0
27 Nov 2020
3D Invisible Cloak
3D Invisible Cloak
Mingfu Xue
Can He
Zhiyu Wu
Jian Wang
Yanfeng Guo
Weiqiang Liu
59
1
0
27 Nov 2020
Use the Spear as a Shield: A Novel Adversarial Example based
  Privacy-Preserving Technique against Membership Inference Attacks
Use the Spear as a Shield: A Novel Adversarial Example based Privacy-Preserving Technique against Membership Inference Attacks
Mingfu Xue
Chengxiang Yuan
Can He
Zhiyu Wu
Yushu Zhang
Yanfeng Guo
Weiqiang Liu
MIACV
16
12
0
27 Nov 2020
NaturalAE: Natural and Robust Physical Adversarial Examples for Object
  Detectors
NaturalAE: Natural and Robust Physical Adversarial Examples for Object Detectors
Mingfu Xue
Chengxiang Yuan
Can He
Jian Wang
Weiqiang Liu
AAML
26
5
0
27 Nov 2020
Rethinking Uncertainty in Deep Learning: Whether and How it Improves
  Robustness
Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness
Yilun Jin
Lixin Fan
Kam Woh Ng
Ce Ju
Qiang Yang
AAMLOOD
27
1
0
27 Nov 2020
Invisible Perturbations: Physical Adversarial Examples Exploiting the
  Rolling Shutter Effect
Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect
Athena Sayles
Ashish Hooda
M. Gupta
Rahul Chatterjee
Earlence Fernandes
AAML
87
78
0
26 Nov 2020
Probing Model Signal-Awareness via Prediction-Preserving Input
  Minimization
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization
Sahil Suneja
Yunhui Zheng
Yufan Zhuang
Jim Laredo
Alessandro Morari
AAML
71
34
0
25 Nov 2020
Stochastic sparse adversarial attacks
Stochastic sparse adversarial attacks
M. Césaire
Théo Combey
H. Hajri
Sylvain Lamprier
Patrick Gallinari
AAML
67
9
0
24 Nov 2020
Towards Imperceptible Universal Attacks on Texture Recognition
Towards Imperceptible Universal Attacks on Texture Recognition
Yingpeng Deng
Lina Karam
AAML
41
1
0
24 Nov 2020
On Adversarial Robustness of 3D Point Cloud Classification under
  Adaptive Attacks
On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks
Jiachen Sun
Karl Koenig
Yulong Cao
Qi Alfred Chen
Z. Morley Mao
3DPC
92
20
0
24 Nov 2020
Omni: Automated Ensemble with Unexpected Models against Adversarial
  Evasion Attack
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack
Rui Shu
Tianpei Xia
Laurie A. Williams
Tim Menzies
AAML
70
16
0
23 Nov 2020
Learnable Boundary Guided Adversarial Training
Learnable Boundary Guided Adversarial Training
Jiequan Cui
Shu Liu
Liwei Wang
Jiaya Jia
OODAAML
113
132
0
23 Nov 2020
A Neuro-Inspired Autoencoding Defense Against Adversarial Perturbations
A Neuro-Inspired Autoencoding Defense Against Adversarial Perturbations
Can Bakiskan
Metehan Cekic
Ahmet Dundar Sezer
Upamanyu Madhow
AAML
52
0
0
21 Nov 2020
Contextual Interference Reduction by Selective Fine-Tuning of Neural
  Networks
Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks
Mahdi Biparva
John K. Tsotsos
DRL
31
0
0
21 Nov 2020
Adversarial Threats to DeepFake Detection: A Practical Perspective
Adversarial Threats to DeepFake Detection: A Practical Perspective
Paarth Neekhara
Brian Dolhansky
Joanna Bitton
Cristian Canton Ferrer
AAML
61
85
0
19 Nov 2020
DeepRepair: Style-Guided Repairing for DNNs in the Real-world
  Operational Environment
DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment
Bing Yu
Hua Qi
Qing Guo
Felix Juefei Xu
Xiaofei Xie
Lei Ma
Jianjun Zhao
25
5
0
19 Nov 2020
Effective, Efficient and Robust Neural Architecture Search
Effective, Efficient and Robust Neural Architecture Search
Zhixiong Yue
Baijiong Lin
Xiaonan Huang
Yu Zhang
AAML
60
20
0
19 Nov 2020
An Experimental Study of Semantic Continuity for Deep Learning Models
An Experimental Study of Semantic Continuity for Deep Learning Models
Shangxi Wu
Dongyuan Lu
Xian Zhao
Lizhang Chen
Jitao Sang
75
2
0
19 Nov 2020
Robustified Domain Adaptation
Robustified Domain Adaptation
Jiajin Zhang
Hanqing Chao
Pingkun Yan
36
4
0
18 Nov 2020
Contextual Fusion For Adversarial Robustness
Contextual Fusion For Adversarial Robustness
Aiswarya Akumalla
S. Haney
M. Bazhenov
AAML
31
1
0
18 Nov 2020
Adversarial Profiles: Detecting Out-Distribution & Adversarial Samples
  in Pre-trained CNNs
Adversarial Profiles: Detecting Out-Distribution & Adversarial Samples in Pre-trained CNNs
Arezoo Rajabi
R. Bobba
OODDAAML
21
2
0
18 Nov 2020
Shaping Deep Feature Space towards Gaussian Mixture for Visual
  Classification
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification
Weitao Wan
Jiansheng Chen
Cheng Yu
Tong Wu
Yuanyi Zhong
Ming-Hsuan Yang
38
8
0
18 Nov 2020
Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer
  Patients
Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients
Daniel M. Lang
J. Peeken
Stephanie E. Combs
J. Wilkens
S. Bartzsch
MedIm
33
27
0
17 Nov 2020
FoolHD: Fooling speaker identification by Highly imperceptible
  adversarial Disturbances
FoolHD: Fooling speaker identification by Highly imperceptible adversarial Disturbances
Ali Shahin Shamsabadi
Francisco Teixeira
A. Abad
Bhiksha Raj
Andrea Cavallaro
Isabel Trancoso
AAML
62
30
0
17 Nov 2020
Extreme Value Preserving Networks
Extreme Value Preserving Networks
Mingjie Sun
Jianguo Li
Changshui Zhang
AAMLMDE
30
0
0
17 Nov 2020
Query-based Targeted Action-Space Adversarial Policies on Deep
  Reinforcement Learning Agents
Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents
Xian Yeow Lee
Yasaman Esfandiari
Kai Liang Tan
Soumik Sarkar
AAML
77
33
0
13 Nov 2020
Adversarial Image Color Transformations in Explicit Color Filter Space
Adversarial Image Color Transformations in Explicit Color Filter Space
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
110
14
0
12 Nov 2020
CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray
  Interpretation to Photos of Chest X-rays
CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays
Pranav Rajpurkar
Anirudh Joshi
Anuj Pareek
Jeremy Irvin
A. Ng
M. Lungren
47
3
0
12 Nov 2020
Detecting Adversarial Patches with Class Conditional Reconstruction
  Networks
Detecting Adversarial Patches with Class Conditional Reconstruction Networks
Perry Deng
Mohammad Saidur Rahman
M. Wright
AAML
65
2
0
11 Nov 2020
Fooling the primate brain with minimal, targeted image manipulation
Fooling the primate brain with minimal, targeted image manipulation
Li-xin Yuan
Will Xiao
Giorgia Dellaferrera
Gabriel Kreiman
Francis E. H. Tay
Jiashi Feng
Margaret Livingstone
AAML
38
1
0
11 Nov 2020
Efficient and Transferable Adversarial Examples from Bayesian Neural
  Networks
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks
Martin Gubri
Maxime Cordy
Mike Papadakis
Yves Le Traon
Koushik Sen
AAML
151
11
0
10 Nov 2020
Risk Assessment for Machine Learning Models
Risk Assessment for Machine Learning Models
Paul Schwerdtner
Florens Greßner
Nikhil Kapoor
F. Assion
René Sass
W. Günther
Fabian Hüger
Peter Schlicht
38
6
0
09 Nov 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness
  Included?
Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
Martin Genzel
Jan Macdonald
M. März
AAMLOOD
67
107
0
09 Nov 2020
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective
  Genetic Optimization Guided By Deep Networks
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks
Alex Mathai
Shreya Khare
Srikanth G. Tamilselvam
Senthil Mani
AAML
58
6
0
08 Nov 2020
A survey on practical adversarial examples for malware classifiers
A survey on practical adversarial examples for malware classifiers
Daniel Park
B. Yener
AAML
96
16
0
06 Nov 2020
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