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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
Intrinsic Biologically Plausible Adversarial Robustness
Intrinsic Biologically Plausible Adversarial Robustness
Matilde Tristany Farinha
Thomas Ortner
Giorgia Dellaferrera
Benjamin Grewe
A. Pantazi
AAML
110
1
0
29 Sep 2023
Investigating Human-Identifiable Features Hidden in Adversarial
  Perturbations
Investigating Human-Identifiable Features Hidden in Adversarial Perturbations
Dennis Y. Menn
Tzu-hsun Feng
Sriram Vishwanath
Hung-yi Lee
AAML
53
0
0
28 Sep 2023
On the Trade-offs between Adversarial Robustness and Actionable
  Explanations
On the Trade-offs between Adversarial Robustness and Actionable Explanations
Satyapriya Krishna
Chirag Agarwal
Himabindu Lakkaraju
AAML
84
0
0
28 Sep 2023
Defending Against Physical Adversarial Patch Attacks on Infrared Human
  Detection
Defending Against Physical Adversarial Patch Attacks on Infrared Human Detection
Lukas Strack
Futa Waseda
H. Nguyen
Yinqiang Zheng
Isao Echizen
AAML
93
2
0
27 Sep 2023
Structure Invariant Transformation for better Adversarial
  Transferability
Structure Invariant Transformation for better Adversarial Transferability
Xiaosen Wang
Zeliang Zhang
Jianping Zhang
AAML
76
66
0
26 Sep 2023
Single Image Test-Time Adaptation for Segmentation
Single Image Test-Time Adaptation for Segmentation
Klara Janouskova
T. Shor
Chaim Baskin
Jirí Matas
TTAOOD
114
3
0
25 Sep 2023
Adversarial Attacks on Video Object Segmentation with Hard Region
  Discovery
Adversarial Attacks on Video Object Segmentation with Hard Region Discovery
P. Li
Yu Zhang
L. Yuan
Jian Zhao
Xianghua Xu
Xiaoqing Zhang
AAMLVOS
80
15
0
25 Sep 2023
Vulnerabilities in Video Quality Assessment Models: The Challenge of
  Adversarial Attacks
Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks
Ao Zhang
Yu Ran
Weixuan Tang
Yuan-Gen Wang
95
14
0
24 Sep 2023
Improving Machine Learning Robustness via Adversarial Training
Improving Machine Learning Robustness via Adversarial Training
Long Dang
T. Hapuarachchi
Kaiqi Xiong
Jing Lin
OODAAML
58
2
0
22 Sep 2023
Understanding Pose and Appearance Disentanglement in 3D Human Pose
  Estimation
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation
Krishna Kanth Nakka
Mathieu Salzmann
DRLCoGe
79
2
0
20 Sep 2023
PRAT: PRofiling Adversarial aTtacks
PRAT: PRofiling Adversarial aTtacks
Rahul Ambati
Naveed Akhtar
Ajmal Mian
Yogesh S Rawat
AAML
53
1
0
20 Sep 2023
Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion
  Recognition in Conversation With Emotion Disentanglement
Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement
Shanglin Lei
Xiaoping Wang
Guanting Dong
Jiang Li
Yingjian Liu
61
2
0
18 Sep 2023
Differentiable JPEG: The Devil is in the Details
Differentiable JPEG: The Devil is in the Details
Christoph Reich
Biplob K. Debnath
Deep Patel
S. Chakradhar
DiffM
108
10
0
13 Sep 2023
DAD++: Improved Data-free Test Time Adversarial Defense
DAD++: Improved Data-free Test Time Adversarial Defense
Gaurav Kumar Nayak
Inder Khatri
Shubham Randive
Ruchit Rawal
Anirban Chakraborty
AAML
74
2
0
10 Sep 2023
Exploring Robust Features for Improving Adversarial Robustness
Exploring Robust Features for Improving Adversarial Robustness
Hong Wang
Yuefan Deng
Shinjae Yoo
Yuewei Lin
AAML
98
4
0
09 Sep 2023
How adversarial attacks can disrupt seemingly stable accurate
  classifiers
How adversarial attacks can disrupt seemingly stable accurate classifiers
Oliver J. Sutton
Qinghua Zhou
I. Tyukin
Alexander N. Gorban
Alexander Bastounis
D. Higham
AAML
69
1
0
07 Sep 2023
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time
  Series
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series
Chang George Dong
Liangwei Nathan Zheng
Weitong Chen
Wei Emma Zhang
Lin Yue
AAML
54
7
0
06 Sep 2023
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems
Abhishek Moitra
Abhiroop Bhattacharjee
Youngeun Kim
Priyadarshini Panda
AAML
51
1
0
05 Sep 2023
The Adversarial Implications of Variable-Time Inference
The Adversarial Implications of Variable-Time Inference
Dudi Biton
Aditi Misra
Efrat Levy
J. Kotak
Ron Bitton
R. Schuster
Nicolas Papernot
Yuval Elovici
Ben Nassi
AAML
29
0
0
05 Sep 2023
Hindering Adversarial Attacks with Multiple Encrypted Patch Embeddings
Hindering Adversarial Attacks with Multiple Encrypted Patch Embeddings
AprilPyone Maungmaung
Isao Echizen
Hitoshi Kiya
AAML
64
2
0
04 Sep 2023
Toward Defensive Letter Design
Toward Defensive Letter Design
Rentaro Kataoka
Akisato Kimura
Seiichi Uchida
AAML
41
0
0
04 Sep 2023
Robust and Efficient Interference Neural Networks for Defending Against
  Adversarial Attacks in ImageNet
Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet
Yunuo Xiong
Shujuan Liu
H. Xiong
AAML
39
0
0
03 Sep 2023
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake
  Detection
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection
Weijie Wang
Zhengyu Zhao
N. Sebe
Bruno Lepri
AAML
70
2
0
03 Sep 2023
Timbre-reserved Adversarial Attack in Speaker Identification
Timbre-reserved Adversarial Attack in Speaker Identification
Qing Wang
Jixun Yao
Li Zhang
Pengcheng Guo
Linfu Xie
AAML
79
4
0
02 Sep 2023
Towards Certified Probabilistic Robustness with High Accuracy
Towards Certified Probabilistic Robustness with High Accuracy
Ruihan Zhang
Peixin Zhang
Jun Sun
AAML
65
0
0
02 Sep 2023
Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous
  Driving: An Inductive Logic Programming Approach
Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach
Zahra Chaghazardi
Saber Fallah
Alireza Tamaddoni-Nezhad
AAML
74
3
0
30 Aug 2023
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks
Arezoo Rajabi
Surudhi Asokraj
Feng-Shr Jiang
Luyao Niu
Bhaskar Ramasubramanian
J. Ritcey
Radha Poovendran
AAML
54
1
0
30 Aug 2023
Can We Rely on AI?
Can We Rely on AI?
D. Higham
AAML
63
0
0
29 Aug 2023
On-Manifold Projected Gradient Descent
On-Manifold Projected Gradient Descent
Aaron Mahler
Tyrus Berry
Thomas Stephens
Harbir Antil
Michael Merritt
Jeanie Schreiber
Ioannis G. Kevrekidis
AAML
82
0
0
23 Aug 2023
Adversarial Training Using Feedback Loops
Adversarial Training Using Feedback Loops
Ali Haisam Muhammad Rafid
Adrian Sandu
AAML
41
1
0
23 Aug 2023
Adversarial Illusions in Multi-Modal Embeddings
Adversarial Illusions in Multi-Modal Embeddings
Tingwei Zhang
Rishi Jha
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
138
11
0
22 Aug 2023
Improving the Transferability of Adversarial Examples with Arbitrary
  Style Transfer
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer
Zhijin Ge
Fanhua Shang
Hongying Liu
Yuanyuan Liu
Liang Wan
Wei Feng
Xiaosen Wang
AAML
94
19
0
21 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation
Boosting Adversarial Transferability by Block Shuffle and Rotation
Kunyu Wang
Xu He
Wenxuan Wang
Xiaosen Wang
AAML
107
44
0
20 Aug 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
Hejia Geng
Peng Li
AAML
146
3
0
20 Aug 2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks
Robust Mixture-of-Expert Training for Convolutional Neural Networks
Yihua Zhang
Ruisi Cai
Tianlong Chen
Guanhua Zhang
Huan Zhang
Pin-Yu Chen
Shiyu Chang
Zhangyang Wang
Sijia Liu
MoEAAMLOOD
91
19
0
19 Aug 2023
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing
  Framework for Content Moderation Software
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software
Wenxuan Wang
Jingyuan Huang
Jen-tse Huang
Chang Chen
Jiazhen Gu
Pinjia He
Michael R. Lyu
VLM
61
6
0
18 Aug 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic
  Transformations via Transformation-Dependent Randomized Smoothing
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing
Dmitrii Korzh
Alireza Azadbakht
Maryam Tahmasbi
Alireza Javaheri
AAML
81
0
0
17 Aug 2023
A White-Box False Positive Adversarial Attack Method on Contrastive Loss
  Based Offline Handwritten Signature Verification Models
A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models
Zhongliang Guo
Weiye Li
Yifei Qian
Ognjen Arandjelovic
Lei Fang
AAML
90
14
0
17 Aug 2023
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Brijesh Vora
Kartik Patwari
Syed Mahbub Hafiz
Zubair Shafiq
Chen-Nee Chuah
AAML
70
2
0
16 Aug 2023
A Review of Adversarial Attacks in Computer Vision
A Review of Adversarial Attacks in Computer Vision
Yutong Zhang
Yao Li
Yin Li
Zhichang Guo
AAML
86
3
0
15 Aug 2023
Backpropagation Path Search On Adversarial Transferability
Backpropagation Path Search On Adversarial Transferability
Zhuoer Xu
Zhangxuan Gu
Jianping Zhang
Shiwen Cui
Changhua Meng
Weiqiang Wang
AAML
74
5
0
15 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network
  Intrusion Detection
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
João Vitorino
Isabel Praça
Eva Maia
AAML
61
26
0
13 Aug 2023
Physical Adversarial Attacks For Camera-based Smart Systems: Current
  Trends, Categorization, Applications, Research Challenges, and Future Outlook
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook
Amira Guesmi
Muhammad Abdullah Hanif
B. Ouni
Muhammed Shafique
AAML
120
23
0
11 Aug 2023
Enhancing Generalization of Universal Adversarial Perturbation through
  Gradient Aggregation
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation
Xuantong Liu
Yaoyao Zhong
Yuhang Zhang
Lixiong Qin
Weihong Deng
AAML
94
25
0
11 Aug 2023
Hard No-Box Adversarial Attack on Skeleton-Based Human Action
  Recognition with Skeleton-Motion-Informed Gradient
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient
Zhengzhi Lu
He Wang
Ziyi Chang
Guoan Yang
Hubert P. H. Shum
AAML
71
10
0
10 Aug 2023
SegMatch: A semi-supervised learning method for surgical instrument segmentation
SegMatch: A semi-supervised learning method for surgical instrument segmentation
Meng Wei
Charlie Budd
Luis C. Garcia-Peraza-Herrera
Reuben Dorent
Miaojing Shi
Tom Vercauteren
70
5
0
09 Aug 2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively
  Weighted Regularization and Knowledge Distillation
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation
Dongyoon Yang
Insung Kong
Yongdai Kim
74
4
0
08 Aug 2023
Exploring the Physical World Adversarial Robustness of Vehicle Detection
Exploring the Physical World Adversarial Robustness of Vehicle Detection
Wei Jiang
Tianyuan Zhang
Shuang Liu
Weiyu Ji
Zichao Zhang
Gang Xiao
AAML
54
6
0
07 Aug 2023
A reading survey on adversarial machine learning: Adversarial attacks
  and their understanding
A reading survey on adversarial machine learning: Adversarial attacks and their understanding
Shashank Kotyan
AAML
66
6
0
07 Aug 2023
Unsupervised Adversarial Detection without Extra Model: Training Loss
  Should Change
Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change
Chien Cheng Chyou
Hung-Ting Su
Winston H. Hsu
AAML
34
2
0
07 Aug 2023
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