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Adversarial examples in the physical world

Adversarial examples in the physical world

8 July 2016
Alexey Kurakin
Ian Goodfellow
Samy Bengio
    SILM
    AAML
ArXivPDFHTML

Papers citing "Adversarial examples in the physical world"

50 / 1,598 papers shown
Title
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
D. Duvenaud
Shauna Kravec
...
Jared Kaplan
Buck Shlegeris
Samuel R. Bowman
Ethan Perez
Evan Hubinger
46
35
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
32
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
N. Durasov
Martin Takáč
Pascal Fua
Karthik Nandakumar
Ivan Laptev
VLM
AAML
32
4
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
34
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
F. Khan
48
0
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
30
0
0
12 Jun 2024
Understanding Visual Concepts Across Models
Understanding Visual Concepts Across Models
Brandon Trabucco
Max Gurinas
Kyle Doherty
Ruslan Salakhutdinov
VLM
35
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
34
6
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
33
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
45
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
40
3
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
23
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
24
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
33
5
0
31 May 2024
HOLMES: to Detect Adversarial Examples with Multiple Detectors
HOLMES: to Detect Adversarial Examples with Multiple Detectors
Jing Wen
AAML
28
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
27
3
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
36
6
0
28 May 2024
Spectral regularization for adversarially-robust representation learning
Spectral regularization for adversarially-robust representation learning
Sheng Yang
Jacob A. Zavatone-Veth
C. Pehlevan
AAML
OOD
41
0
0
27 May 2024
Exploiting the Layered Intrinsic Dimensionality of Deep Models for
  Practical Adversarial Training
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training
Enes Altinisik
Safa Messaoud
H. Sencar
Hassan Sajjad
Sanjay Chawla
AAML
43
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
32
3
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
Xiangtai Li
Xuequan Lu
Lizhuang Ma
Hefei Ling
AAML
39
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
52
9
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
19
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
AAML
UQCV
32
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
A. Kusari
AAML
GAN
17
0
0
23 May 2024
How Does Bayes Error Limit Probabilistic Robust Accuracy
How Does Bayes Error Limit Probabilistic Robust Accuracy
Ruihan Zhang
Jun Sun
AAML
32
1
0
23 May 2024
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds
Hanwei Zhang
Luo Cheng
Qisong He
Wei Huang
Renjue Li
R. Sicre
Xiaowei Huang
Holger Hermanns
Lijun Zhang
AAML
25
1
0
23 May 2024
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving
  with Typography
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography
N. Chung
Sensen Gao
Tuan-Anh Vu
Jie M. Zhang
Aishan Liu
Yun Lin
Jin Song Dong
Qi Guo
AAML
35
9
0
23 May 2024
Learning to Transform Dynamically for Better Adversarial Transferability
Learning to Transform Dynamically for Better Adversarial Transferability
Rongyi Zhu
Zeliang Zhang
Susan Liang
Zhuo Liu
Chenliang Xu
AAML
34
14
0
23 May 2024
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble
  of Teachers
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers
Shayan Mohajer Hamidi
Linfeng Ye
AAML
14
0
0
22 May 2024
Rethinking the Vulnerabilities of Face Recognition Systems:From a
  Practical Perspective
Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective
Jiahao Chen
Zhiqiang Shen
Yuwen Pu
Chunyi Zhou
Changjiang Li
Jiliang Li
Ting Wang
Shouling Ji
AAML
39
1
0
21 May 2024
GAN-GRID: A Novel Generative Attack on Smart Grid Stability Prediction
GAN-GRID: A Novel Generative Attack on Smart Grid Stability Prediction
Emad Efatinasab
Alessandro Brighente
M. Rampazzo
Nahal Azadi
M. Conti
35
1
0
20 May 2024
Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes
  Errors
Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes Errors
Ruihan Zhang
Jun Sun
AAML
29
3
0
19 May 2024
Properties that allow or prohibit transferability of adversarial attacks
  among quantized networks
Properties that allow or prohibit transferability of adversarial attacks among quantized networks
Abhishek Shrestha
Jürgen Grossmann
AAML
21
0
0
15 May 2024
Beyond the Black Box: Do More Complex Models Provide Superior XAI
  Explanations?
Beyond the Black Box: Do More Complex Models Provide Superior XAI Explanations?
Mateusz Cedro
Marcin Chlebus
33
1
0
14 May 2024
Improving Transferable Targeted Adversarial Attack via Normalized Logit
  Calibration and Truncated Feature Mixing
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing
Juanjuan Weng
Zhiming Luo
Shaozi Li
AAML
21
0
0
10 May 2024
PUMA: margin-based data pruning
PUMA: margin-based data pruning
Javier Maroto
Pascal Frossard
AAML
42
1
0
10 May 2024
Universal Adversarial Perturbations for Vision-Language Pre-trained
  Models
Universal Adversarial Perturbations for Vision-Language Pre-trained Models
Pengfei Zhang
Zi Huang
Guangdong Bai
AAML
32
11
0
09 May 2024
Is ReLU Adversarially Robust?
Is ReLU Adversarially Robust?
Korn Sooksatra
Greg Hamerly
Pablo Rivas
14
3
0
06 May 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving
  Adversarial Transferability
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability
Juanjuan Weng
Zhiming Luo
Shaozi Li
AAML
21
1
0
06 May 2024
Tree-based Ensemble Learning for Out-of-distribution Detection
Tree-based Ensemble Learning for Out-of-distribution Detection
Zhaiming Shen
Menglun Wang
Guang Cheng
Ming-Jun Lai
Lin Mu
Ruihao Huang
Qi Liu
Hao Zhu
OODD
21
0
0
05 May 2024
Uniformly Stable Algorithms for Adversarial Training and Beyond
Uniformly Stable Algorithms for Adversarial Training and Beyond
Jiancong Xiao
Jiawei Zhang
Zhimin Luo
Asuman Ozdaglar
AAML
40
0
0
03 May 2024
Revisiting the Adversarial Robustness of Vision Language Models: a
  Multimodal Perspective
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective
Wanqi Zhou
Shuanghao Bai
Qibin Zhao
Badong Chen
VLM
AAML
44
5
0
30 Apr 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
Antonio Emanuele Cinà
Jérôme Rony
Maura Pintor
Luca Demetrio
Ambra Demontis
Battista Biggio
Ismail Ben Ayed
Fabio Roli
ELM
AAML
SILM
44
6
0
30 Apr 2024
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural
  Networks
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
Yunzhen Feng
Tim G. J. Rudner
Nikolaos Tsilivis
Julia Kempe
AAML
BDL
43
1
0
27 Apr 2024
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging
  Perturbations That Efficiently Fool Customized Diffusion Models
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
Jingyao Xu
Yuetong Lu
Yandong Li
Siyang Lu
Dongdong Wang
Xiang Wei
AAML
DiffM
19
10
0
23 Apr 2024
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against
  Perturbation
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation
Xulin Chen
Ruipeng Liu
Garret E. Katz
37
0
0
22 Apr 2024
AED-PADA:Improving Generalizability of Adversarial Example Detection via
  Principal Adversarial Domain Adaptation
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation
Heqi Peng
Yun-an Wang
Ruijie Yang
Beichen Li
Rui Wang
Yuanfang Guo
AAML
35
0
0
19 Apr 2024
Utilizing Adversarial Examples for Bias Mitigation and Accuracy
  Enhancement
Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement
Pushkar Shukla
Dhruv Srikanth
Lee Cohen
Matthew A. Turk
AAML
38
0
0
18 Apr 2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency
Towards a Novel Perspective on Adversarial Examples Driven by Frequency
Zhun Zhang
Yi Zeng
Qihe Liu
Shijie Zhou
AAML
31
0
0
16 Apr 2024
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