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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
Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation
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2
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Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps
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Friedhelm Schwenker
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79
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Massimiliano Mancini
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Zeynep Akata
157
121
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B. Le
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52
4
0
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A Novel Plug-and-Play Approach for Adversarially Robust Generalization
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83
0
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Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing
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Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning
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72
47
0
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Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries
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Shubhajit Datta
Debdeep Mukhopadhyay
Arijit Mondal
P. Chakrabarti
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30
5
0
18 Aug 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning
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Yuehua Wu
Shang-Tse Chen
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73
2
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Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
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Roy Ganz
Michael Elad
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91
39
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Two Heads are Better than One: Robust Learning Meets Multi-branch Models
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Qi Bu
Yuhao Qing
Haowen Pi
Sen Wang
Heming Cui
OOD
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60
0
0
17 Aug 2022
A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search
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Jie Yu
Shasha Li
Jun Ma
Shezheng Song
AAML
68
1
0
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Neural network fragile watermarking with no model performance degradation
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Heng Yin
Xinpeng Zhang
AAML
43
20
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Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks
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Seunghoon Hong
Sung-eui Yoon
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76
8
0
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Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation
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Yukun Zhou
Chen Jin
M. Groot
Daniel C. Alexander
N. Oxtoby
Yipeng Hu
Joseph Jacob
VLM
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37
12
0
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Blackbox Attacks via Surrogate Ensemble Search
Zikui Cai
Chengyu Song
S. Krishnamurthy
Amit K. Roy-Chowdhury
M. Salman Asif
AAML
108
21
0
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A New Kind of Adversarial Example
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122
1
0
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Design of secure and robust cognitive system for malware detection
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51
2
0
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Attacking Adversarial Defences by Smoothing the Loss Landscape
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Henry Gouk
Da Li
Timothy M. Hospedales
AAML
77
4
0
01 Aug 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
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Saikat Majumdar
Kristin Barber
R. Teodorescu
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90
2
0
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Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Muhammad Hassan
Haifei Guan
Aikaterini Melliou
Yuqi Wang
Qianhui Sun
...
Qi Huang
Jiefu Tan
Qinwang Xing
Peiwu Qin
Dongmei Yu
NAI
104
15
0
31 Jul 2022
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips
Jiawang Bai
Kuofeng Gao
Dihong Gong
Shutao Xia
Zhifeng Li
Wen Liu
AAML
80
29
0
27 Jul 2022
Look Closer to Your Enemy: Learning to Attack via Teacher-Student Mimicking
Mingejie Wang
Jianxiong Guo
Sirui Li
Dingwen Xiao
Zhiqing Tang
AAML
83
0
0
27 Jul 2022
Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception
Rui Duan
Zhe Qu
Shangqing Zhao
Leah Ding
Yao-Hong Liu
Zhuo Lu
AAML
54
6
0
26 Jul 2022
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity
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Maxime Cordy
Mike Papadakis
Yves Le Traon
Koushik Sen
AAML
77
55
0
26 Jul 2022
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness
Jindong Gu
Hengshuang Zhao
Volker Tresp
Philip Torr
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119
78
0
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Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer
Yingyi Chen
Xiaoke Shen
Yahui Liu
Qinghua Tao
Johan A. K. Suykens
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85
24
0
25 Jul 2022
Can we achieve robustness from data alone?
Nikolaos Tsilivis
Jingtong Su
Julia Kempe
OOD
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108
18
0
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Do Perceptually Aligned Gradients Imply Adversarial Robustness?
Roy Ganz
Bahjat Kawar
Michael Elad
AAML
65
10
0
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Provable Defense Against Geometric Transformations
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Jacob S. Laurel
Sasa Misailovic
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92
15
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Careful What You Wish For: on the Extraction of Adversarially Trained Models
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Gabriela Nicolescu
F. Magalhães
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78
4
0
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Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing
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62
6
0
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Decorrelative Network Architecture for Robust Electrocardiogram Classification
Christopher Wiedeman
Ge Wang
OOD
79
2
0
19 Jul 2022
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations
H. Malik
Shahina Kunhimon
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61
8
0
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A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling
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Qifan Xiao
Mi Zhang
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76
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0
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Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
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Xiaochun Cao
AAML
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73
28
0
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Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using Stackelberg Game
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Shuang Liu
Lijia Yu
AAML
78
0
0
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DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking
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Wenjie Ruan
J. Fieldsend
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74
29
0
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Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders
Jiahao Qi
Z. Gong
Xingyue Liu
Kangcheng Bin
Chen Chen
Yongqiang Li
Wei Xue
Yu Zhang
P. Zhong
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81
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3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models
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93
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0
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Interactive Machine Learning: A State of the Art Review
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Cédric Buche
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102
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Perturbation Inactivation Based Adversarial Defense for Face Recognition
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Yunlong Wang
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63
14
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Exploring Adversarial Examples and Adversarial Robustness of Convolutional Neural Networks by Mutual Information
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Jinde Cao
Dan Xu
GAN
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70
0
0
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Adversarial Robustness Assessment of NeuroEvolution Approaches
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Nuno Lourenço
Nuno Antunes
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74
1
0
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Multitask Learning from Augmented Auxiliary Data for Improving Speech Emotion Recognition
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R. Rana
Sara Khalifa
Raja Jurdak
Björn W. Schuller
72
23
0
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Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency
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Ehsan Elhamifar
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39
0
0
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Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems
I. Aliyu
Sélinde Van Engelenburg
Muhammed Muazu
Jinsul Kim
C. Lim
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74
15
0
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Dynamic Time Warping based Adversarial Framework for Time-Series Domain
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Yan Yan
J. Doppa
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82
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0
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Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features
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J. Doppa
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66
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Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis
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