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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
Efficient Adversarial Input Generation via Neural Net Patching
Efficient Adversarial Input Generation via Neural Net Patching
Tooba Khan
Kumar Madhukar
Subodh Vishnu Sharma
AAML
53
0
0
30 Nov 2022
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial
  Defense for COVID-19 Detection
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection
Kunlan Xiang
Xing Zhang
Jinwen She
Jinpeng Liu
Haohan Wang
Shiqi Deng
Shancheng Jiang
OODMedIm
101
6
0
30 Nov 2022
A3T: Accuracy Aware Adversarial Training
A3T: Accuracy Aware Adversarial Training
Enes Altinisik
Safa Messaoud
Husrev Taha Sencar
Sanjay Chawla
52
6
0
29 Nov 2022
Advancing Deep Metric Learning Through Multiple Batch Norms And
  Multi-Targeted Adversarial Examples
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples
Inderjeet Singh
Kazuya Kakizaki
Toshinori Araki
AAMLOOD
77
0
0
29 Nov 2022
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial
  Perturbations against Interpretable Deep Learning
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning
Eldor Abdukhamidov
Mohammed Abuhamad
Simon S. Woo
Eric Chan-Tin
Tamer Abuhmed
AAML
63
9
0
29 Nov 2022
Foiling Explanations in Deep Neural Networks
Foiling Explanations in Deep Neural Networks
Snir Vitrack Tamam
Raz Lapid
Moshe Sipper
AAML
75
17
0
27 Nov 2022
Supervised Contrastive Prototype Learning: Augmentation Free Robust
  Neural Network
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network
Iordanis Fostiropoulos
Laurent Itti
83
1
0
26 Nov 2022
Deep Learning Training Procedure Augmentations
Deep Learning Training Procedure Augmentations
Cristian Simionescu
104
1
0
25 Nov 2022
Seeds Don't Lie: An Adaptive Watermarking Framework for Computer Vision
  Models
Seeds Don't Lie: An Adaptive Watermarking Framework for Computer Vision Models
Jacob Shams
Ben Nassi
I. Morikawa
Toshiya Shimizu
A. Shabtai
Yuval Elovici
AAML
32
1
0
24 Nov 2022
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action
  Recognition
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition
Rohit Gupta
Naveed Akhtar
Gaurav Kumar Nayak
Ajmal Mian
M. Shah
AAML
69
1
0
23 Nov 2022
Improving Robust Generalization by Direct PAC-Bayesian Bound
  Minimization
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
Zifa Wang
Nan Ding
Tomer Levinboim
Xi Chen
Radu Soricut
AAML
79
6
0
22 Nov 2022
First Steps Toward Understanding the Extrapolation of Nonlinear Models
  to Unseen Domains
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
Kefan Dong
Tengyu Ma
OOD
79
21
0
21 Nov 2022
Understanding the Vulnerability of Skeleton-based Human Activity
  Recognition via Black-box Attack
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack
Yunfeng Diao
He Wang
Tianjia Shao
Yong-Liang Yang
Kun Zhou
David C. Hogg
Meng Wang
AAML
74
8
0
21 Nov 2022
Boosting the Transferability of Adversarial Attacks with Global Momentum
  Initialization
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
Jiafeng Wang
Zhaoyu Chen
Kaixun Jiang
Dingkang Yang
Lingyi Hong
Pinxue Guo
Yan Wang
Wenqiang Zhang
AAML
126
31
0
21 Nov 2022
Phonemic Adversarial Attack against Audio Recognition in Real World
Phonemic Adversarial Attack against Audio Recognition in Real World
Jiakai Wang
Zhendong Chen
Zixin Yin
Qinghong Yang
Xianglong Liu
AAML
69
4
0
19 Nov 2022
Adversarial Detection by Approximation of Ensemble Boundary
Adversarial Detection by Approximation of Ensemble Boundary
T. Windeatt
AAML
190
0
0
18 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Zhengyu Zhao
Hanwei Zhang
Renjue Li
R. Sicre
Laurent Amsaleg
Michael Backes
AAML
107
20
0
17 Nov 2022
Differentially Private Optimizers Can Learn Adversarially Robust Models
Differentially Private Optimizers Can Learn Adversarially Robust Models
Yuan Zhang
Zhiqi Bu
83
3
0
16 Nov 2022
Accelerating Adversarial Perturbation by 50% with Semi-backward
  Propagation
Accelerating Adversarial Perturbation by 50% with Semi-backward Propagation
Zhiqi Bu
AAML
57
0
0
09 Nov 2022
Preserving Semantics in Textual Adversarial Attacks
Preserving Semantics in Textual Adversarial Attacks
David Herel
Hugo Cisneros
Tomas Mikolov
AAML
105
6
0
08 Nov 2022
Deviations in Representations Induced by Adversarial Attacks
Deviations in Representations Induced by Adversarial Attacks
Danielle L Steinberg
P. Munro
AAML
31
0
0
07 Nov 2022
Decoding Neural Signals with Computational Models: A Systematic Review of Invasive BMI
Rezwan Firuzi
Hamed Ahmadyani
Mohammad Foad Abdi
Dana Naderi
Jahanfar Hassan
Ayub Bokani
AI4CE
103
1
0
07 Nov 2022
Adversarial Defense via Neural Oscillation inspired Gradient Masking
Adversarial Defense via Neural Oscillation inspired Gradient Masking
Chunming Jiang
Yilei Zhang
AAML
61
2
0
04 Nov 2022
Visually Adversarial Attacks and Defenses in the Physical World: A
  Survey
Visually Adversarial Attacks and Defenses in the Physical World: A Survey
Xingxing Wei
Bangzheng Pu
Jiefan Lu
Baoyuan Wu
AAML
148
11
0
03 Nov 2022
Data-free Defense of Black Box Models Against Adversarial Attacks
Data-free Defense of Black Box Models Against Adversarial Attacks
Gaurav Kumar Nayak
Inder Khatri
Ruchit Rawal
Anirban Chakraborty
AAML
71
1
0
03 Nov 2022
ARDIR: Improving Robustness using Knowledge Distillation of Internal
  Representation
ARDIR: Improving Robustness using Knowledge Distillation of Internal Representation
Tomokatsu Takahashi
Masanori Yamada
Yuuki Yamanaka
Tomoya Yamashita
55
1
0
01 Nov 2022
Symmetric Saliency-based Adversarial Attack To Speaker Identification
Symmetric Saliency-based Adversarial Attack To Speaker Identification
Jiadi Yao
Xing Chen
Xiao-Lei Zhang
Weiqiang Zhang
Kunde Yang
AAML
76
9
0
30 Oct 2022
Benchmarking Adversarial Patch Against Aerial Detection
Benchmarking Adversarial Patch Against Aerial Detection
Jiawei Lian
Shaohui Mei
Shun Zhang
Mingyang Ma
AAML
99
58
0
30 Oct 2022
Improving the Transferability of Adversarial Attacks on Face Recognition
  with Beneficial Perturbation Feature Augmentation
Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation
Fengfan Zhou
H. Ling
Yuxuan Shi
Jiazhong Chen
Zongyi Li
Ping Li
AAML
138
7
0
28 Oct 2022
Noise Injection Node Regularization for Robust Learning
Noise Injection Node Regularization for Robust Learning
N. Levi
I. Bloch
M. Freytsis
T. Volansky
AI4CE
64
2
0
27 Oct 2022
Isometric 3D Adversarial Examples in the Physical World
Isometric 3D Adversarial Examples in the Physical World
Yibo Miao
Yinpeng Dong
Junyi Zhu
Xiao-Shan Gao
104
32
0
27 Oct 2022
Uncertainty Sentence Sampling by Virtual Adversarial Perturbation
Uncertainty Sentence Sampling by Virtual Adversarial Perturbation
Han Zhang
Zhen Zhang
Hongfei Jiang
Yang Song
40
0
0
26 Oct 2022
LP-BFGS attack: An adversarial attack based on the Hessian with limited
  pixels
LP-BFGS attack: An adversarial attack based on the Hessian with limited pixels
Jiebao Zhang
Wenhua Qian
Ren-qi Nie
Jinde Cao
Dan Xu
AAML
68
6
0
26 Oct 2022
A Streamlit-based Artificial Intelligence Trust Platform for
  Next-Generation Wireless Networks
A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks
Murat Kuzlu
Ferhat Ozgur Catak
S. Sarp
U. Cali
O. Gueler
104
8
0
25 Oct 2022
Effective Targeted Attacks for Adversarial Self-Supervised Learning
Effective Targeted Attacks for Adversarial Self-Supervised Learning
Minseon Kim
Hyeonjeong Ha
Sooel Son
Sung Ju Hwang
AAML
75
3
0
19 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A
  Comprehensive Survey
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
98
6
0
19 Oct 2022
ODG-Q: Robust Quantization via Online Domain Generalization
ODG-Q: Robust Quantization via Online Domain Generalization
Chaofan Tao
Ngai Wong
MQ
91
1
0
17 Oct 2022
Nowhere to Hide: A Lightweight Unsupervised Detector against Adversarial
  Examples
Nowhere to Hide: A Lightweight Unsupervised Detector against Adversarial Examples
Hui Liu
Bo Zhao
Kehuan Zhang
Peng Liu
AAML
67
4
0
16 Oct 2022
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers
Ruidi Chen
Boran Hao
I. Paschalidis
82
6
0
15 Oct 2022
Is Face Recognition Safe from Realizable Attacks?
Is Face Recognition Safe from Realizable Attacks?
Sanjay Saha
Terence Sim
CVBMAAML
44
3
0
15 Oct 2022
Dynamics-aware Adversarial Attack of Adaptive Neural Networks
Dynamics-aware Adversarial Attack of Adaptive Neural Networks
An Tao
Yueqi Duan
Yingqi Wang
Jiwen Lu
Jie Zhou
AAML
85
6
0
15 Oct 2022
A Hybrid Partitioning Strategy for Backward Reachability of Neural
  Feedback Loops
A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops
Nicholas Rober
Michael Everett
Songan Zhang
Jonathan P. How
61
9
0
14 Oct 2022
DE-FAKE: Detection and Attribution of Fake Images Generated by
  Text-to-Image Generation Models
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models
Zeyang Sha
Zheng Li
Ning Yu
Yang Zhang
DiffM
109
135
0
13 Oct 2022
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization
  for Improved Generalization
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization
Zhiyuan Zhang
Ruixuan Luo
Qi Su
Xueting Sun
105
13
0
13 Oct 2022
AccelAT: A Framework for Accelerating the Adversarial Training of Deep
  Neural Networks through Accuracy Gradient
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient
F. Nikfam
Alberto Marchisio
Maurizio Martina
Mohamed Bennai
AAML
55
0
0
13 Oct 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
Lorenzo Bonicelli
Matteo Boschini
Angelo Porrello
C. Spampinato
Simone Calderara
CLL
72
48
0
12 Oct 2022
Self-Validated Physics-Embedding Network: A General Framework for
  Inverse Modelling
Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling
Ruiyuan Kang
D. Kyritsis
P. Liatsis
AI4CEPINN
75
5
0
12 Oct 2022
Boosting the Transferability of Adversarial Attacks with Reverse
  Adversarial Perturbation
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
Zeyu Qin
Yanbo Fan
Yi Liu
Li Shen
Yong Zhang
Jue Wang
Baoyuan Wu
AAMLSILM
83
84
0
12 Oct 2022
Effectiveness of the Recent Advances in Capsule Networks
Effectiveness of the Recent Advances in Capsule Networks
Nidhin Harilal
Rohan Patil
35
0
0
11 Oct 2022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
Nikolaos Tsilivis
Julia Kempe
AAML
98
20
0
11 Oct 2022
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