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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
Resilience and Security of Deep Neural Networks Against Intentional and
  Unintentional Perturbations: Survey and Research Challenges
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges
Sazzad Sayyed
Milin Zhang
Shahriar Rifat
A. Swami
Michael De Lucia
Francesco Restuccia
106
1
0
31 Jul 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Hunmin Yang
Jongoh Jeong
Kuk-Jin Yoon
AAMLVLM
183
5
0
30 Jul 2024
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
Yunfeng Diao
Na Zhai
Changtao Miao
Xun Yang
Meng Wang
Xun Yang
Meng Wang
AAML
162
2
0
30 Jul 2024
Towards Robust Vision Transformer via Masked Adaptive Ensemble
Towards Robust Vision Transformer via Masked Adaptive Ensemble
Fudong Lin
Jiadong Lou
Xu Yuan
Nianfeng Tzeng
ViTAAML
88
2
0
22 Jul 2024
Any Target Can be Offense: Adversarial Example Generation via
  Generalized Latent Infection
Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection
Youheng Sun
Shengming Yuan
Xuanhan Wang
Lianli Gao
Jingkuan Song
AAML
83
3
0
17 Jul 2024
Investigating Imperceptibility of Adversarial Attacks on Tabular Data:
  An Empirical Analysis
Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis
Zhipeng He
Chun Ouyang
Laith Alzubaidi
Alistair Barros
Catarina Moreira
AAML
75
1
0
16 Jul 2024
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled
  Images
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images
Mingyuan Fan
Yang Liu
Cen Chen
Ximeng Liu
AAML
55
0
0
13 Jul 2024
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying
  Harder Pays Off
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off
L. Halmosi
Bálint Mohos
Márk Jelasity
AAML
76
1
0
12 Jul 2024
Refusing Safe Prompts for Multi-modal Large Language Models
Refusing Safe Prompts for Multi-modal Large Language Models
Zedian Shao
Hongbin Liu
Yuepeng Hu
Neil Zhenqiang Gong
MLLMLRM
82
1
0
12 Jul 2024
How to beat a Bayesian adversary
How to beat a Bayesian adversary
Zihan Ding
Kexin Jin
J. Latz
Chenguang Liu
AAMLBDL
80
0
0
11 Jul 2024
Boosting Adversarial Transferability for Skeleton-based Action
  Recognition via Exploring the Model Posterior Space
Boosting Adversarial Transferability for Skeleton-based Action Recognition via Exploring the Model Posterior Space
Yunfeng Diao
Baiqi Wu
Ruixuan Zhang
Xun Yang
Meng Wang
He Wang
85
0
0
11 Jul 2024
Rethinking the Threat and Accessibility of Adversarial Attacks against
  Face Recognition Systems
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems
Yuxin Cao
Yumeng Zhu
Derui Wang
Sheng Wen
Minhui Xue
Jin Lu
Hao Ge
AAML
73
0
0
11 Jul 2024
Improving the Transferability of Adversarial Examples by Feature
  Augmentation
Improving the Transferability of Adversarial Examples by Feature Augmentation
Donghua Wang
Wen Yao
Tingsong Jiang
Xiaohu Zheng
Junqi Wu
Xiaoqian Chen
AAML
94
0
0
09 Jul 2024
Remembering Everything Makes You Vulnerable: A Limelight on Machine
  Unlearning for Personalized Healthcare Sector
Remembering Everything Makes You Vulnerable: A Limelight on Machine Unlearning for Personalized Healthcare Sector
Ahan Chatterjee
Sai Anirudh Aryasomayajula
Rajat Chaudhari
Subhajit Paul
Vishwa Mohan Singh
AAML
63
0
0
05 Jul 2024
Self-Supervised Representation Learning for Adversarial Attack Detection
Self-Supervised Representation Learning for Adversarial Attack Detection
Yi Li
Plamen Angelov
N. Suri
SSLAAML
78
4
0
05 Jul 2024
Looking From the Future: Multi-order Iterations Can Enhance Adversarial
  Attack Transferability
Looking From the Future: Multi-order Iterations Can Enhance Adversarial Attack Transferability
Zijian Ying
Qianmu Li
Tao Wang
Zhichao Lian
Shunmei Meng
Xuyun Zhang
90
0
0
02 Jul 2024
DeepiSign-G: Generic Watermark to Stamp Hidden DNN Parameters for
  Self-contained Tracking
DeepiSign-G: Generic Watermark to Stamp Hidden DNN Parameters for Self-contained Tracking
A. Abuadbba
Nicholas Rhodes
Kristen Moore
Bushra Sabir
Shuo Wang
Yansong Gao
AAML
145
2
0
01 Jul 2024
Query-Efficient Hard-Label Black-Box Attack against Vision Transformers
Query-Efficient Hard-Label Black-Box Attack against Vision Transformers
Chao Zhou
Xiaowen Shi
Yuan-Gen Wang
ViTAAML
79
0
0
29 Jun 2024
Diffusion-based Adversarial Purification for Intrusion Detection
Diffusion-based Adversarial Purification for Intrusion Detection
Mohamed Amine Merzouk
Erwan Beurier
Reda Yaich
Nora Boulahia-Cuppens
Frédéric Cuppens
AAML
145
0
0
25 Jun 2024
UNICAD: A Unified Approach for Attack Detection, Noise Reduction and
  Novel Class Identification
UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification
Alvaro Lopez Pellicer
Kittipos Giatgong
Yi Li
N. Suri
Plamen Angelov
AAML
61
3
0
24 Jun 2024
Understanding and Diagnosing Deep Reinforcement Learning
Understanding and Diagnosing Deep Reinforcement Learning
Ezgi Korkmaz
68
3
0
23 Jun 2024
Federated Adversarial Learning for Robust Autonomous Landing Runway
  Detection
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection
Yi Li
Plamen Angelov
Zhengxin Yu
Alvaro Lopez Pellicer
Neeraj Suri
60
3
0
22 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
244
1
0
21 Jun 2024
Enhancing robustness of data-driven SHM models: adversarial training
  with circle loss
Enhancing robustness of data-driven SHM models: adversarial training with circle loss
Xiangli Yang
Xijie Deng
Hanwei Zhang
Yang Zou
Jianxi Yang
AAML
62
0
0
20 Jun 2024
Obfuscating IoT Device Scanning Activity via Adversarial Example
  Generation
Obfuscating IoT Device Scanning Activity via Adversarial Example Generation
Haocong Li
Yaxin Zhang
Long Cheng
Wenjia Niu
Haining Wang
Qiang Li
AAML
69
0
0
17 Jun 2024
Imperceptible Face Forgery Attack via Adversarial Semantic Mask
Imperceptible Face Forgery Attack via Adversarial Semantic Mask
Decheng Liu
Qixuan Su
Chunlei Peng
Nannan Wang
Xinbo Gao
AAML
83
1
0
16 Jun 2024
Sycophancy to Subterfuge: Investigating Reward-Tampering in Large
  Language Models
Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
Carson E. Denison
M. MacDiarmid
Fazl Barez
David Duvenaud
Shauna Kravec
...
Jared Kaplan
Buck Shlegeris
Samuel R. Bowman
Ethan Perez
Evan Hubinger
132
44
0
14 Jun 2024
Automated Design of Linear Bounding Functions for Sigmoidal
  Nonlinearities in Neural Networks
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
Matthias König
Xiyue Zhang
Holger H. Hoos
Marta Kwiatkowska
Jan N. van Rijn
AAML
79
1
0
14 Jun 2024
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models
Samar Fares
Klea Ziu
Toluwani Aremu
Nikita Durasov
Martin Takáč
Pascal Fua
Karthik Nandakumar
Ivan Laptev
VLMAAML
99
5
0
13 Jun 2024
Improving Adversarial Robustness via Feature Pattern Consistency
  Constraint
Improving Adversarial Robustness via Feature Pattern Consistency Constraint
Jiacong Hu
Jingwen Ye
Zunlei Feng
Jiazhen Yang
Shunyu Liu
Xiaotian Yu
Lingxiang Jia
Mingli Song
AAML
84
2
0
13 Jun 2024
On Evaluating Adversarial Robustness of Volumetric Medical Segmentation
  Models
On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models
H. Malik
Numan Saeed
Asif Hanif
Muzammal Naseer
Mohammad Yaqub
Salman Khan
Fahad Shahbaz Khan
110
1
0
12 Jun 2024
I Don't Know You, But I Can Catch You: Real-Time Defense against Diverse
  Adversarial Patches for Object Detectors
I Don't Know You, But I Can Catch You: Real-Time Defense against Diverse Adversarial Patches for Object Detectors
Zijin Lin
Yue Zhao
Kai Chen
Jinwen He
AAML
58
1
0
12 Jun 2024
Understanding Visual Concepts Across Models
Understanding Visual Concepts Across Models
Brandon Trabucco
Max Gurinas
Kyle Doherty
Ruslan Salakhutdinov
VLM
70
0
0
11 Jun 2024
AudioMarkBench: Benchmarking Robustness of Audio Watermarking
AudioMarkBench: Benchmarking Robustness of Audio Watermarking
Hongbin Liu
Moyang Guo
Zhengyuan Jiang
Lun Wang
Neil Zhenqiang Gong
106
10
0
11 Jun 2024
DMS: Addressing Information Loss with More Steps for Pragmatic
  Adversarial Attacks
DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks
Zhiyu Zhu
Jiayu Zhang
Xinyi Wang
Zhibo Jin
Huaming Chen
AAML
56
1
0
09 Jun 2024
Exploring Adversarial Robustness of Deep State Space Models
Exploring Adversarial Robustness of Deep State Space Models
Biqing Qi
Yang Luo
Junqi Gao
Pengfei Li
Kai Tian
Zhiyuan Ma
Bowen Zhou
AAML
65
1
0
08 Jun 2024
The Price of Implicit Bias in Adversarially Robust Generalization
The Price of Implicit Bias in Adversarially Robust Generalization
Nikolaos Tsilivis
Natalie Frank
Nathan Srebro
Julia Kempe
106
4
0
07 Jun 2024
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by
  Regularizing Unwanted Noise
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise
Zhixun He
Mukesh Singhal
79
1
0
05 Jun 2024
Advancing Generalized Transfer Attack with Initialization Derived
  Bilevel Optimization and Dynamic Sequence Truncation
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
Yaohua Liu
Jiaxin Gao
Xuan Liu
Xianghao Jiao
Xin-Yue Fan
Risheng Liu
93
1
0
04 Jun 2024
Robust Stable Spiking Neural Networks
Robust Stable Spiking Neural Networks
Jianhao Ding
Zhiyu Pan
Yujia Liu
Zhaofei Yu
Tiejun Huang
AAML
102
7
0
31 May 2024
HOLMES: to Detect Adversarial Examples with Multiple Detectors
HOLMES: to Detect Adversarial Examples with Multiple Detectors
Jing Wen
AAML
78
0
0
30 May 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided
  by a Function Prior
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
Shuyu Cheng
Yibo Miao
Yinpeng Dong
Xiao Yang
Xiao-Shan Gao
Jun Zhu
AAML
99
5
0
29 May 2024
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks
Zhenxing Niu
Yuyao Sun
Qiguang Miao
Rong Jin
Gang Hua
AAML
70
7
0
28 May 2024
Spectral regularization for adversarially-robust representation learning
Spectral regularization for adversarially-robust representation learning
Sheng Yang
Jacob A. Zavatone-Veth
Cengiz Pehlevan
AAMLOOD
110
0
0
27 May 2024
Sok: Comprehensive Security Overview, Challenges, and Future Directions
  of Voice-Controlled Systems
Sok: Comprehensive Security Overview, Challenges, and Future Directions of Voice-Controlled Systems
Haozhe Xu
Cong Wu
Yangyang Gu
Xingcan Shang
Jing Chen
Kun He
Ruiying Du
132
3
0
27 May 2024
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
Shaoyuan Xie
Lingdong Kong
Wenwei Zhang
Jiawei Ren
Liang Pan
Kai-xiang Chen
Ziwei Liu
AAML
96
12
0
27 May 2024
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models
Fengfan Zhou
Qianyu Zhou
Hefei Ling
Xuequan Lu
AAML
122
3
0
27 May 2024
Enhancing Consistency-Based Image Generation via Adversarialy-Trained
  Classification and Energy-Based Discrimination
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination
Shelly Golan
Roy Ganz
Michael Elad
65
0
0
25 May 2024
Uncertainty Measurement of Deep Learning System based on the Convex Hull
  of Training Sets
Uncertainty Measurement of Deep Learning System based on the Convex Hull of Training Sets
Hyekyoung Hwang
Jitae Shin
AAMLUQCV
62
0
0
25 May 2024
Generating camera failures as a class of physics-based adversarial
  examples
Generating camera failures as a class of physics-based adversarial examples
Manav Prabhakar
Jwalandhar Girnar
Arpan Kusari
AAMLGAN
54
0
0
23 May 2024
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