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Towards Deep Learning Models Resistant to Adversarial Attacks
v1v2v3v4 (latest)

Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
    SILMOOD
ArXiv (abs)PDFHTMLGithub (752★)

Papers citing "Towards Deep Learning Models Resistant to Adversarial Attacks"

50 / 6,613 papers shown
Title
The Misclassification Likelihood Matrix: Some Classes Are More Likely To
  Be Misclassified Than Others
The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others
Daniel Sikar
Artur Garcez
Robin Bloomfield
Tillman Weyde
Kaleem Peeroo
Naman Singh
Maeve Hutchinson
Dany Laksono
Mirela Reljan-Delaney
89
2
0
10 Jul 2024
Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model
Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model
Qi Song
Ziyuan Luo
Ka Chun Cheung
Simon See
Renjie Wan
87
13
0
10 Jul 2024
Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A
  Survey
Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey
Chenyu Zhang
Mingwang Hu
Wenhui Li
Lanjun Wang
81
20
0
10 Jul 2024
A Survey of Attacks on Large Vision-Language Models: Resources,
  Advances, and Future Trends
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends
Daizong Liu
Mingyu Yang
Xiaoye Qu
Pan Zhou
Yu Cheng
Wei Hu
ELMAAML
108
33
0
10 Jul 2024
Robust Neural Information Retrieval: An Adversarial and
  Out-of-distribution Perspective
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective
Yu-An Liu
Ruqing Zhang
Jiafeng Guo
Maarten de Rijke
Yixing Fan
Xueqi Cheng
118
11
0
09 Jul 2024
A Hybrid Training-time and Run-time Defense Against Adversarial Attacks
  in Modulation Classification
A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classification
Lu Zhang
S. Lambotharan
G. Zheng
G. Liao
Ambra Demontis
Fabio Roli
AAML
80
10
0
09 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive
  Survey and Challenges
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges
Yanli Li
Zhongliang Guo
Nan Yang
Huaming Chen
Dong Yuan
Weiping Ding
FedML
93
5
0
09 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
101
0
0
09 Jul 2024
Certified Continual Learning for Neural Network Regression
Certified Continual Learning for Neural Network Regression
Long H. Pham
Jun Sun
119
2
0
09 Jul 2024
Universal Multi-view Black-box Attack against Object Detectors via
  Layout Optimization
Universal Multi-view Black-box Attack against Object Detectors via Layout Optimization
Donghua Wang
Wen Yao
Tingsong Jiang
Chao Li
Xiaoqian Chen
AAML
94
0
0
09 Jul 2024
DLOVE: A new Security Evaluation Tool for Deep Learning Based
  Watermarking Techniques
DLOVE: A new Security Evaluation Tool for Deep Learning Based Watermarking Techniques
Sudev Kumar Padhi
Sk. Subidh Ali
AAML
104
0
0
09 Jul 2024
Shedding More Light on Robust Classifiers under the lens of Energy-based
  Models
Shedding More Light on Robust Classifiers under the lens of Energy-based Models
Mujtaba Hussain Mirza
Maria Rosaria Briglia
Senad Beadini
I. Masi
AAML
63
5
0
08 Jul 2024
A Novel Bifurcation Method for Observation Perturbation Attacks on
  Reinforcement Learning Agents: Load Altering Attacks on a Cyber Physical
  Power System
A Novel Bifurcation Method for Observation Perturbation Attacks on Reinforcement Learning Agents: Load Altering Attacks on a Cyber Physical Power System
Kiernan Broda-Milian
Ranwa Al-Mallah
H. Dagdougui
AAML
68
0
0
06 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
Controlling Whisper: Universal Acoustic Adversarial Attacks to Control
  Speech Foundation Models
Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Speech Foundation Models
Vyas Raina
Mark Gales
AAML
65
2
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
81
4
0
05 Jul 2024
Regulating Model Reliance on Non-Robust Features by Smoothing Input
  Marginal Density
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density
Peiyu Yang
Naveed Akhtar
Mubarak Shah
Ajmal Mian
AAML
67
1
0
05 Jul 2024
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off
  in Trustworthy Federated Learning
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning
Xiaojin Zhang
Mingcong Xu
Wei Chen
FedML
83
0
0
05 Jul 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Yuanzheng Cai
Shaozi Li
Shaozi Li
AAML
177
0
0
04 Jul 2024
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock
  Volatility Prediction
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction
Shengkun Wang
Taoran Ji
Jianfeng He
Mariam Almutairi
Dan Wang
Linhan Wang
Min Zhang
Chang-Tien Lu
63
3
0
03 Jul 2024
Single Character Perturbations Break LLM Alignment
Single Character Perturbations Break LLM Alignment
Leon Lin
Hannah Brown
Kenji Kawaguchi
Michael Shieh
AAML
429
2
0
03 Jul 2024
$L_p$-norm Distortion-Efficient Adversarial Attack
LpL_pLp​-norm Distortion-Efficient Adversarial Attack
Chao Zhou
Yuan-Gen Wang
Zi-Jia Wang
Xiangui Kang
74
0
0
03 Jul 2024
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models
Xu Han
Linghao Jin
Xuezhe Ma
Xiaofeng Liu
AAML
94
3
0
02 Jul 2024
MALT Powers Up Adversarial Attacks
MALT Powers Up Adversarial Attacks
Odelia Melamed
Gilad Yehudai
Adi Shamir
AAML
54
0
0
02 Jul 2024
Secure Semantic Communication via Paired Adversarial Residual Networks
Secure Semantic Communication via Paired Adversarial Residual Networks
Boxiang He
Fanggang Wang
Tony Q. S. Quek
GANAAML
56
6
0
02 Jul 2024
SecGenAI: Enhancing Security of Cloud-based Generative AI Applications
  within Australian Critical Technologies of National Interest
SecGenAI: Enhancing Security of Cloud-based Generative AI Applications within Australian Critical Technologies of National Interest
Christoforus Yoga Haryanto
Minh Hieu Vu
Trung Duc Nguyen
Emily Lomempow
Yulia Nurliana
Sona Taheri
70
2
0
01 Jul 2024
Learning Robust 3D Representation from CLIP via Dual Denoising
Learning Robust 3D Representation from CLIP via Dual Denoising
Shuqing Luo
Bowen Qu
Wei-Nan Gao
99
1
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
81
0
0
29 Jun 2024
Deceptive Diffusion: Generating Synthetic Adversarial Examples
Deceptive Diffusion: Generating Synthetic Adversarial Examples
Lucas Beerens
Catherine F. Higham
D. Higham
WIGMDiffM
75
2
0
28 Jun 2024
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve
  Adversarial Robustness
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness
Erh-Chung Chen
Pin-Yu Chen
I-Hsin Chung
Che-Rung Lee
80
3
0
28 Jun 2024
A Survey on Failure Analysis and Fault Injection in AI Systems
A Survey on Failure Analysis and Fault Injection in AI Systems
Guangba Yu
Gou Tan
Haojia Huang
Zhenyu Zhang
Pengfei Chen
Roberto Natella
Zibin Zheng
99
6
0
28 Jun 2024
Accuracy on the wrong line: On the pitfalls of noisy data for
  out-of-distribution generalisation
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation
Amartya Sanyal
Yaxi Hu
Yaodong Yu
Yian Ma
Yixin Wang
Bernhard Schölkopf
OODD
83
2
0
27 Jun 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in
  Deep Robust Classifiers
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
Jonas Ngnawé
Sabyasachi Sahoo
Y. Pequignot
Frédéric Precioso
Christian Gagné
AAML
85
0
0
26 Jun 2024
Toward Availability Attacks in 3D Point Clouds
Toward Availability Attacks in 3D Point Clouds
Yifan Zhu
Yibo Miao
Yinpeng Dong
Xiao-Shan Gao
3DPCAAML
101
4
0
26 Jun 2024
Artificial Immune System of Secure Face Recognition Against Adversarial
  Attacks
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Min Ren
Yunlong Wang
Yuhao Zhu
Yongzhen Huang
Zhenan Sun
Qi Li
Tieniu Tan
119
4
0
26 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
147
0
0
25 Jun 2024
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness
Vaclav Voracek
AAML
124
2
0
25 Jun 2024
GradCheck: Analyzing classifier guidance gradients for conditional
  diffusion sampling
GradCheck: Analyzing classifier guidance gradients for conditional diffusion sampling
Philipp Vaeth
Alexander M. Fruehwald
Benjamin Paassen
Magda Gregorova
BDL
47
3
0
25 Jun 2024
Semantic Deep Hiding for Robust Unlearnable Examples
Semantic Deep Hiding for Robust Unlearnable Examples
Ruohan Meng
Chenyu Yi
Yi Yu
Siyuan Yang
Bingquan Shen
Alex C. Kot
133
5
0
25 Jun 2024
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver
  Diseases Detection
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection
Peng Huang
Shu Hu
Bo Peng
Jiashu Zhang
Xi Wu
Xin Wang
95
6
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
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic
  Resonance Imaging Reconstruction
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction
T. Han
S. Nebelung
Firas Khader
Jakob Nikolas Kather
Daniel Truhn
MedImDiffM
62
1
0
23 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
63
3
0
22 Jun 2024
DataFreeShield: Defending Adversarial Attacks without Training Data
DataFreeShield: Defending Adversarial Attacks without Training Data
Hyeyoon Lee
Kanghyun Choi
Dain Kwon
Sunjong Park
Mayoore S. Jaiswal
Noseong Park
Jonghyun Choi
Jinho Lee
78
0
0
21 Jun 2024
Robust Reinforcement Learning from Corrupted Human Feedback
Robust Reinforcement Learning from Corrupted Human Feedback
Alexander Bukharin
Ilgee Hong
Haoming Jiang
Zichong Li
Qingru Zhang
Zixuan Zhang
Tuo Zhao
103
8
0
21 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
248
1
0
21 Jun 2024
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse
  Diffusion Purification
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification
Xianlong Wang
Shengshan Hu
Yechao Zhang
Ziqi Zhou
Leo Yu Zhang
Peng Xu
Wei Wan
Hai Jin
AAML
141
3
0
21 Jun 2024
Contextual Interaction via Primitive-based Adversarial Training For
  Compositional Zero-shot Learning
Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot Learning
Suyi Li
Chenyi Jiang
Shidong Wang
Yang Long
Zheng Zhang
Haofeng Zhang
CoGe
92
0
0
21 Jun 2024
Uniform Convergence of Adversarially Robust Classifiers
Uniform Convergence of Adversarially Robust Classifiers
Rachel Morris
Ryan Murray
AAML
87
1
0
20 Jun 2024
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