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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 / 7,067 papers shown
A Content-dependent Watermark for Safeguarding Image Attribution
A Content-dependent Watermark for Safeguarding Image Attribution
Tong Zhou
Ruyi Ding
Gaowen Liu
Charles Fleming
Ramana Rao Kompella
Yunsi Fei
Xiaolin Xu
Shaolei Ren
WIGM
222
0
0
13 Sep 2025
A Modern Look at Simplicity Bias in Image Classification Tasks
A Modern Look at Simplicity Bias in Image Classification Tasks
Xiaoguang Chang
Teng Wang
Changyin Sun
AAML
139
0
0
13 Sep 2025
Immunizing Images from Text to Image Editing via Adversarial Cross-Attention
Immunizing Images from Text to Image Editing via Adversarial Cross-Attention
Matteo Trippodo
Federico Becattini
Lorenzo Seidenari
DiffMAAML
127
0
0
12 Sep 2025
Adversarial robustness through Lipschitz-Guided Stochastic Depth in Neural Networks
Adversarial robustness through Lipschitz-Guided Stochastic Depth in Neural Networks
Laith Nayal
Mahmoud Mousatat
Bader Rasheed
102
0
0
12 Sep 2025
SAGE: Sample-Aware Guarding Engine for Robust Intrusion Detection Against Adversarial Attacks
SAGE: Sample-Aware Guarding Engine for Robust Intrusion Detection Against Adversarial Attacks
Jing Chen
Onat Gungor
Zhengli Shang
T. Rosing
AAML
112
0
0
09 Sep 2025
Generating Transferrable Adversarial Examples via Local Mixing and Logits Optimization for Remote Sensing Object Recognition
Generating Transferrable Adversarial Examples via Local Mixing and Logits Optimization for Remote Sensing Object Recognition
Chun Liu
Hailong Wang
Bingqian Zhu
Panpan Ding
Zheng Zheng
Tao Xu
Zhigang Han
Jiayao Wang
AAML
160
0
0
09 Sep 2025
Nearest Neighbor Projection Removal Adversarial Training
Nearest Neighbor Projection Removal Adversarial Training
Himanshu Singh
A. V. Subramanyam
Shivank Rajput
Mohan Kankanhalli
AAML
171
0
0
09 Sep 2025
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study
Kutub Uddin
Muhammad Umar Farooq
Awais Khan
K. Malik
AAML
108
0
0
08 Sep 2025
Evaluating the Impact of Adversarial Attacks on Traffic Sign Classification using the LISA Dataset
Evaluating the Impact of Adversarial Attacks on Traffic Sign Classification using the LISA Dataset
Nabeyou Tadessa
Balaji Iyangar
Mashrur Chowdhury
AAML
70
0
0
08 Sep 2025
Breaking SafetyCore: Exploring the Risks of On-Device AI Deployment
Breaking SafetyCore: Exploring the Risks of On-Device AI Deployment
Victor Guyomard
Mathis Mauvisseau
Marie Paindavoine
110
0
0
08 Sep 2025
IGAff: Benchmarking Adversarial Iterative and Genetic Affine Algorithms on Deep Neural Networks
IGAff: Benchmarking Adversarial Iterative and Genetic Affine Algorithms on Deep Neural Networks
Sebastian-Vasile Echim
Andrei Preda
Dumitru-Clementin Cercel
Florin-Catalin Pop
AAML
121
0
0
08 Sep 2025
RetinaGuard: Obfuscating Retinal Age in Fundus Images for Biometric Privacy Preserving
RetinaGuard: Obfuscating Retinal Age in Fundus Images for Biometric Privacy Preserving
Zhengquan Luo
Chi Liu
Dongfu Xiao
Zhen Yu
Yueye Wang
Tianqing Zhu
MedIm
169
0
0
07 Sep 2025
Robust DDoS-Attack Classification with 3D CNNs Against Adversarial Methods
Robust DDoS-Attack Classification with 3D CNNs Against Adversarial Methods
Landon Bragg
Nathan Dorsey
Josh Prior
John Ajit
Ben Kim
Nate Willis
Pablo Rivas
64
0
0
07 Sep 2025
Robust Experts: the Effect of Adversarial Training on CNNs with Sparse Mixture-of-Experts Layers
Robust Experts: the Effect of Adversarial Training on CNNs with Sparse Mixture-of-Experts Layers
Svetlana Pavlitska
Haixi Fan
Konstantin Ditschuneit
Johann Marius Zöllner
AAMLMoE
102
0
0
05 Sep 2025
RobQFL: Robust Quantum Federated Learning in Adversarial Environment
RobQFL: Robust Quantum Federated Learning in Adversarial Environment
Walid El Maouaki
Nouhaila Innan
Alberto Marchisio
Taoufik Said
Muhammad Shafique
Mohamed Bennai
FedML
129
0
0
05 Sep 2025
Shuffling Heuristic in Variational Inequalities: Establishing New Convergence Guarantees
Shuffling Heuristic in Variational Inequalities: Establishing New Convergence Guarantees
Daniil Medyakov
Gleb Molodtsov
Grigoriy Evseev
Egor Petrov
Aleksandr Beznosikov
338
3
0
04 Sep 2025
ANNIE: Be Careful of Your Robots
ANNIE: Be Careful of Your Robots
Yiyang Huang
Zixuan Wang
Zishen Wan
Yapeng Tian
Haobo Xu
Yinhe Han
Yiming Gan
AAML
146
0
0
03 Sep 2025
A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural Networks
A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural Networks
Qianyi Bai
Haiteng Wang
Qiang Yu
137
0
0
03 Sep 2025
FedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models
FedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models
Kun Zhai
Siheng Chen
Xingjun Ma
Yu Jiang
VLMAAMLFedML
115
0
0
03 Sep 2025
Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers
Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers
Tzuhsuan Huang
Cheng Yu Yeo
Tsai-Ling Huang
Hong-Han Shuai
Wen-Huang Cheng
Jun-Cheng Chen
AAML
129
0
0
03 Sep 2025
Geometric origin of adversarial vulnerability in deep learning
Geometric origin of adversarial vulnerability in deep learning
Yixiong Ren
Wenkang Du
Jianhui Zhou
Haiping Huang
AAMLGAN
217
0
0
01 Sep 2025
Sequential Difference Maximization: Generating Adversarial Examples via Multi-Stage Optimization
Sequential Difference Maximization: Generating Adversarial Examples via Multi-Stage Optimization
Xinlei Liu
Tao Hu
Peng Yi
Weitao Han
Jichao Xie
Baolin Li
AAML
50
0
0
31 Aug 2025
Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles
Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles
Christos Anagnostopoulos
Ioulia Kapsali
Alexandros Gkillas
Nikos Piperigkos
Aris Lalos
AAML
118
0
0
31 Aug 2025
MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification
MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification
Hikmat Khan
Syed Farhan Alam Zaidi
Pir Masoom Shah
Kiruthika Balakrishnan
Rabia Khan
Muhammad Waqas
Jia Wu
OODMedIm
183
0
0
30 Aug 2025
Waste-Bench: A Comprehensive Benchmark for Evaluating VLLMs in Cluttered Environments
Waste-Bench: A Comprehensive Benchmark for Evaluating VLLMs in Cluttered Environments
Muhammad Ali
Salman Khan
129
0
0
29 Aug 2025
I Stolenly Swear That I Am Up to (No) Good: Design and Evaluation of Model Stealing Attacks
I Stolenly Swear That I Am Up to (No) Good: Design and Evaluation of Model Stealing Attacks
Daryna Oliynyk
Rudolf Mayer
Kathrin Grosse
Andreas Rauber
140
0
0
29 Aug 2025
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning
Yiming Lin
Yuchen Niu
Shang Wang
K. Huang
Qiufeng Wang
Xiao-Bo Jin
136
0
0
29 Aug 2025
Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks
Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks
Amirhossein Nazeri
Wael Hafez
AAML
104
0
0
29 Aug 2025
Learning from Peers: Collaborative Ensemble Adversarial Training
Learning from Peers: Collaborative Ensemble Adversarial Training
Li Dengjin
Guo Yanming
Xie Yuxiang
Li Zheng
Chen Jiangming
Li Xiaolong
Lao Mingrui
FedML
161
0
0
27 Aug 2025
Towards stable AI systems for Evaluating Arabic Pronunciations
Towards stable AI systems for Evaluating Arabic Pronunciations
Hadi Zaatiti
H. Hajri
Osama Abdullah
N. Masmoudi
79
0
0
27 Aug 2025
Get Global Guarantees: On the Probabilistic Nature of Perturbation Robustness
Get Global Guarantees: On the Probabilistic Nature of Perturbation Robustness
Wenchuan Mu
Kwan Hui Lim
AAML
117
2
0
26 Aug 2025
MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations
MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations
Yibo Bai
Sizhou Chen
Michele Panariello
Xiao-Lei Zhang
Massimiliano Todisco
Nicholas W. D. Evans
DiffMAAML
94
0
0
26 Aug 2025
On Surjectivity of Neural Networks: Can you elicit any behavior from your model?
On Surjectivity of Neural Networks: Can you elicit any behavior from your model?
Haozhe Jiang
Nika Haghtalab
190
3
0
26 Aug 2025
Hidden Tail: Adversarial Image Causing Stealthy Resource Consumption in Vision-Language Models
Hidden Tail: Adversarial Image Causing Stealthy Resource Consumption in Vision-Language Models
Rui Zhang
Z. Wang
Tianli Yang
Hongwei Li
Wenbo Jiang
Qingchuan Zhao
Wenshu Fan
Guowen Xu
AAMLVLM
83
1
0
26 Aug 2025
Does simple trump complex? Comparing strategies for adversarial robustness in DNNs
Does simple trump complex? Comparing strategies for adversarial robustness in DNNs
William Brooks
Marelie Hattingh Davel
Coenraad Mouton
AAML
73
0
0
25 Aug 2025
Efficient Model-Based Purification Against Adversarial Attacks for LiDAR Segmentation
Efficient Model-Based Purification Against Adversarial Attacks for LiDAR Segmentation
Alexandros Gkillas
Ioulia Kapsali
Nikos Piperigkos
Aris Lalos
AAML3DPC
137
0
0
25 Aug 2025
ClearMask: Noise-Free and Naturalness-Preserving Protection Against Voice Deepfake Attacks
ClearMask: Noise-Free and Naturalness-Preserving Protection Against Voice Deepfake AttacksACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025
Yuanda Wang
Bocheng Chen
Hanqing Guo
Guangjing Wang
Weikang Ding
Qiben Yan
AAML
113
0
0
25 Aug 2025
Robustness Feature Adapter for Efficient Adversarial Training
Robustness Feature Adapter for Efficient Adversarial Training
Quanwei Wu
Jun Guo
Wei Wang
Yi Alice Wang
AAML
91
0
0
25 Aug 2025
Convergence and Generalization of Anti-Regularization for Parametric Models
Convergence and Generalization of Anti-Regularization for Parametric Models
Dongseok Kim
Wonjun Jeong
Gisung Oh
233
0
0
24 Aug 2025
Advancing Weakly-Supervised Change Detection in Satellite Images via Adversarial Class Prompting
Advancing Weakly-Supervised Change Detection in Satellite Images via Adversarial Class Prompting
Zhenghui Zhao
Chen Wu
Di Wang
Hongruixuan Chen
Cuiqun Chen
Zhuo Zheng
Bo Du
Liangpei Zhang
136
0
0
24 Aug 2025
Sharpness-Aware Geometric Defense for Robust Out-Of-Distribution Detection
Sharpness-Aware Geometric Defense for Robust Out-Of-Distribution Detection
Jeng-Lin Li
Ming-Ching Chang
Wei-Chao Chen
161
0
0
24 Aug 2025
AdaGAT: Adaptive Guidance Adversarial Training for the Robustness of Deep Neural Networks
AdaGAT: Adaptive Guidance Adversarial Training for the Robustness of Deep Neural Networks
Zhenyu Liu
H. Liang
Xinrun Li
V. Snás̃el
Varun Ojha
AAML
96
0
0
24 Aug 2025
Adversarial Examples Are Not Bugs, They Are Superposition
Adversarial Examples Are Not Bugs, They Are Superposition
Liv Gorton
Owen Lewis
AAML
201
3
0
24 Aug 2025
NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability
NAT: Learning to Attack Neurons for Enhanced Adversarial TransferabilityIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Krishna Kanth Nakka
Alexandre Alahi
AAML
145
2
0
23 Aug 2025
SoK: Understanding the Fundamentals and Implications of Sensor Out-of-band Vulnerabilities
SoK: Understanding the Fundamentals and Implications of Sensor Out-of-band Vulnerabilities
Shilin Xiao
Wenjun Zhu
Y. Jiang
Kai Wang
Peiwang Wang
Chen Yan
Xiaoyu ji
Luyi Xing
106
0
0
22 Aug 2025
An Investigation of Visual Foundation Models Robustness
An Investigation of Visual Foundation Models Robustness
Sandeep Gupta
Roberto Passerone
AAML
126
0
0
22 Aug 2025
Mini-Batch Robustness Verification of Deep Neural Networks
Mini-Batch Robustness Verification of Deep Neural Networks
Saar Tzour-Shaday
Dana Drachsler Cohen
AAML
200
0
0
21 Aug 2025
On Evaluating the Adversarial Robustness of Foundation Models for Multimodal Entity Linking
On Evaluating the Adversarial Robustness of Foundation Models for Multimodal Entity Linking
Fang Wang
Yongjie Wang
Zonghao Yang
Minghao Hu
Xiaoying Bai
AAML
88
0
0
21 Aug 2025
Distributional Adversarial Attacks and Training in Deep Hedging
Distributional Adversarial Attacks and Training in Deep Hedging
Guangyi He
Tobias Sutter
Lukas Gonon
AAML
149
0
0
20 Aug 2025
Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection
Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection
Jan Lum Fok
Qingwen Zeng
Shiping Chen
Oscar Fawkes
H. Chen
AAML
100
3
0
20 Aug 2025
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