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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 / 6,612 papers shown
Title
D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under
  Transferable Imperceptible Adversarial Attack
D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack
Hong-Hanh Nguyen-Le
Van-Tuan Tran
Dinh-Thuc Nguyen
Nhien-An Le-Khac
AAML
114
2
0
11 Sep 2024
Securing Vision-Language Models with a Robust Encoder Against Jailbreak
  and Adversarial Attacks
Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks
Md Zarif Hossain
Ahmed Imteaj
AAMLVLM
81
6
0
11 Sep 2024
Module-wise Adaptive Adversarial Training for End-to-end Autonomous
  Driving
Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving
Tianyuan Zhang
Lu Wang
Jiaqi Kang
Xinwei Zhang
Siyuan Liang
Yuwei Chen
Aishan Liu
Xianglong Liu
AAML
104
3
0
11 Sep 2024
Optimizing Neural Network Performance and Interpretability with
  Diophantine Equation Encoding
Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encoding
Ronald Katende
76
0
0
11 Sep 2024
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
Boming Miao
Chunxiao Li
Yao Zhu
Weixiang Sun
Zizhe Wang
Xiaoyi Wang
Chuanlong Xie
DiffMAAML
166
1
0
11 Sep 2024
Unrevealed Threats: A Comprehensive Study of the Adversarial Robustness
  of Underwater Image Enhancement Models
Unrevealed Threats: A Comprehensive Study of the Adversarial Robustness of Underwater Image Enhancement Models
Siyu Zhai
Zhibo He
Xiaofeng Cong
Junming Hou
Jie Gui
Jian Wei You
Xin Gong
James Tin-Yau Kwok
Yuan Yan Tang
AAML
61
0
0
10 Sep 2024
Statistical Mechanics of Min-Max Problems
Statistical Mechanics of Min-Max Problems
Yuma Ichikawa
Koji Hukushima
106
1
0
09 Sep 2024
Input Space Mode Connectivity in Deep Neural Networks
Input Space Mode Connectivity in Deep Neural Networks
Jakub Vrabel
Ori Shem-Ur
Yaron Oz
David Krueger
110
1
0
09 Sep 2024
Adversarial Attacks on Data Attribution
Adversarial Attacks on Data Attribution
Xinhe Wang
Pingbang Hu
Junwei Deng
Jiaqi W. Ma
TDI
140
0
0
09 Sep 2024
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures
Xinheng Xie
Kureha Yamaguchi
Margaux Leblanc
Simon Malzard
Varun Chhabra
Victoria Nockles
Yue-bo Wu
AAML
242
1
0
08 Sep 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification
Learning to Learn Transferable Generative Attack for Person Re-Identification
Yuan Bian
Min Liu
Xueping Wang
Yunfeng Ma
Yaonan Wang
AAMLOOD
163
1
0
06 Sep 2024
Limited but consistent gains in adversarial robustness by co-training
  object recognition models with human EEG
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG
Manshan Guo
Bhavin Choksi
Sari Saba-Sadiya
A. T. Gifford
Martina G. Vilas
Radoslaw Martin Cichy
Gemma Roig
AAML
73
0
0
05 Sep 2024
A practical approach to evaluating the adversarial distance for machine
  learning classifiers
A practical approach to evaluating the adversarial distance for machine learning classifiers
Georg Siedel
Ekagra Gupta
Andrey Morozov
AAML
64
0
0
05 Sep 2024
Active Fake: DeepFake Camouflage
Active Fake: DeepFake Camouflage
Pu Sun
Honggang Qi
Yuezun Li
PICV
134
0
0
05 Sep 2024
Adversarial Learning for Neural PDE Solvers with Sparse Data
Adversarial Learning for Neural PDE Solvers with Sparse Data
Yunpeng Gong
Yongjie Hou
Zhenzhong Wang
Zexin Lin
Min Jiang
AAML
74
10
0
04 Sep 2024
Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep
  Receviers
Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Receviers
Kunze Wu
Weiheng Jiang
Dusit Niyato
Yinghuan Li
Chuang Luo
AAML
120
0
0
04 Sep 2024
Reassessing Noise Augmentation Methods in the Context of Adversarial
  Speech
Reassessing Noise Augmentation Methods in the Context of Adversarial Speech
Karla Pizzi
Matías Pizarro
Asja Fischer
60
0
0
03 Sep 2024
Dynamic Guidance Adversarial Distillation with Enhanced Teacher
  Knowledge
Dynamic Guidance Adversarial Distillation with Enhanced Teacher Knowledge
Hyejin Park
Dongbo Min
AAML
87
3
0
03 Sep 2024
One-Index Vector Quantization Based Adversarial Attack on Image
  Classification
One-Index Vector Quantization Based Adversarial Attack on Image Classification
Haiju Fan
Xiaona Qin
Shuang Chen
Hubert P. H. Shum
Ming Li
54
0
0
02 Sep 2024
SoK: Security of the Image Processing Pipeline in Autonomous Vehicles
SoK: Security of the Image Processing Pipeline in Autonomous Vehicles
Michael Kuhr
Mohammad Hamad
Pedram MohajerAnsari
Mert D. Pesé
Sebastian Steinhorst
66
1
0
02 Sep 2024
CLIBE: Detecting Dynamic Backdoors in Transformer-based NLP Models
CLIBE: Detecting Dynamic Backdoors in Transformer-based NLP Models
Rui Zeng
Xi Chen
Yuwen Pu
Xuhong Zhang
Tianyu Du
Shouling Ji
113
5
0
02 Sep 2024
Backdoor Defense through Self-Supervised and Generative Learning
Backdoor Defense through Self-Supervised and Generative Learning
Ivan Sabolić
Ivan Grubišić
Siniša Šegvić
AAML
113
0
0
02 Sep 2024
Accurate Forgetting for All-in-One Image Restoration Model
Accurate Forgetting for All-in-One Image Restoration Model
Xin Su
Zhuoran Zheng
CLL
79
1
0
01 Sep 2024
Structuring a Training Strategy to Robustify Perception Models with
  Realistic Image Augmentations
Structuring a Training Strategy to Robustify Perception Models with Realistic Image Augmentations
Ahmed Hammam
B. K. Sreedhar
Nura Kawa
Tim Patzelt
Oliver De Candido
83
0
0
30 Aug 2024
Analyzing Inference Privacy Risks Through Gradients in Machine Learning
Analyzing Inference Privacy Risks Through Gradients in Machine Learning
Zhuohang Li
Andrew Lowy
Jing Liu
T. Koike-Akino
K. Parsons
Bradley Malin
Ye Wang
FedML
75
1
0
29 Aug 2024
Evaluating Model Robustness Using Adaptive Sparse L0 Regularization
Evaluating Model Robustness Using Adaptive Sparse L0 Regularization
Weiyou Liu
Zhenyang Li
Weitong Chen
AAML
93
1
0
28 Aug 2024
Certified Causal Defense with Generalizable Robustness
Certified Causal Defense with Generalizable Robustness
Yiran Qiao
Yu Yin
Chen Chen
Jing Ma
AAMLOODCML
181
0
0
28 Aug 2024
LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet
LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet
Nathaniel Li
Ziwen Han
Ian Steneker
Willow Primack
Riley Goodside
Hugh Zhang
Zifan Wang
Cristina Menghini
Summer Yue
AAMLMU
105
57
0
27 Aug 2024
Few-Shot Unsupervised Implicit Neural Shape Representation Learning with
  Spatial Adversaries
Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries
Amine Ouasfi
A. Boukhayma
77
4
0
27 Aug 2024
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting
  for Smart and Connected Infrastructures
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures
Pooja Krishan
Rohan Mohapatra
Saptarshi Sengupta
AAML
79
1
0
27 Aug 2024
TART: Boosting Clean Accuracy Through Tangent Direction Guided
  Adversarial Training
TART: Boosting Clean Accuracy Through Tangent Direction Guided Adversarial Training
Bongsoo Yi
Rongjie Lai
Yao Li
AAML
54
0
0
27 Aug 2024
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
Tal Alter
Raz Lapid
Moshe Sipper
AAML
113
6
0
25 Aug 2024
Probing the Robustness of Vision-Language Pretrained Models: A
  Multimodal Adversarial Attack Approach
Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach
Jiwei Guan
Tianyu Ding
Longbing Cao
Lei Pan
Chen Wang
Xi Zheng
AAML
126
2
0
24 Aug 2024
Disentangled Training with Adversarial Examples For Robust
  Small-footprint Keyword Spotting
Disentangled Training with Adversarial Examples For Robust Small-footprint Keyword Spotting
Zhenyu Wang
Li Wan
Biqiao Zhang
Yiteng Huang
Shang-Wen Li
Ming Sun
Xin Lei
Zhaojun Yang
AAML
114
1
0
23 Aug 2024
Toward Improving Synthetic Audio Spoofing Detection Robustness via
  Meta-Learning and Disentangled Training With Adversarial Examples
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples
Zhenyu Wang
John H. L. Hansen
AAML
89
1
0
23 Aug 2024
Dynamic Label Adversarial Training for Deep Learning Robustness Against
  Adversarial Attacks
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks
Zhenyu Liu
Haoran Duan
Huizhi Liang
Yang Long
V. Snás̃el
G. Nicosia
R. Ranjan
Varun Ojha
AAML
69
1
0
23 Aug 2024
BankTweak: Adversarial Attack against Multi-Object Trackers by
  Manipulating Feature Banks
BankTweak: Adversarial Attack against Multi-Object Trackers by Manipulating Feature Banks
Woojin Shin
Donghwa Kang
Daejin Choi
Brent Kang
Jinkyu Lee
Hyeongboo Baek
VOTAAML
57
0
0
22 Aug 2024
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A
  Comprehensive Framework for Gradient Editing
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Chenyu Zhang
Jiahao Huang
Jianlong Zhou
Fang Chen
AAML
109
0
0
22 Aug 2024
Leveraging Information Consistency in Frequency and Spatial Domain for
  Adversarial Attacks
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Xinyi Wang
Yiyun Huang
Huaming Chen
AAML
81
1
0
22 Aug 2024
Assessing the Uncertainty and Robustness of the Laptop Refurbishing Software
Assessing the Uncertainty and Robustness of the Laptop Refurbishing Software
Chengjie Lu
Jiahui Wu
Shaukat Ali
Mikkel Labori Olsen
UQCV
64
3
0
22 Aug 2024
First line of defense: A robust first layer mitigates adversarial
  attacks
First line of defense: A robust first layer mitigates adversarial attacks
Janani Suresh
Nancy Nayak
Sheetal Kalyani
AAML
58
0
0
21 Aug 2024
Exploring Robustness of Visual State Space model against Backdoor
  Attacks
Exploring Robustness of Visual State Space model against Backdoor Attacks
Cheng-Yi Lee
Cheng-Chang Tsai
Chia-Mu Yu
Chun-Shien Lu
AAML
58
0
0
21 Aug 2024
Latent Feature and Attention Dual Erasure Attack against Multi-View Diffusion Models for 3D Assets Protection
Latent Feature and Attention Dual Erasure Attack against Multi-View Diffusion Models for 3D Assets Protection
Jingwei Sun
Xuchong Zhang
Changfeng Sun
Qicheng Bai
Hongbin Sun
AAMLDiffM
148
0
0
21 Aug 2024
Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models
Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models
Chun-Yen Shih
Li-Xuan Peng
Jia-Wei Liao
Ernie Chu
Cheng-Fu Chou
Jun-Cheng Chen
AAMLDiffM
120
1
0
21 Aug 2024
Revisiting Min-Max Optimization Problem in Adversarial Training
Revisiting Min-Max Optimization Problem in Adversarial Training
Sina Hajer Ahmadi
Hassan Bahrami
AAML
68
0
0
20 Aug 2024
Makeup-Guided Facial Privacy Protection via Untrained Neural Network
  Priors
Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors
Fahad Shamshad
Muzammal Naseer
Karthik Nandakumar
AAMLPICV
90
1
0
20 Aug 2024
Learning Randomized Algorithms with Transformers
Learning Randomized Algorithms with Transformers
J. Oswald
Seijin Kobayashi
Yassir Akram
Angelika Steger
AAML
84
1
0
20 Aug 2024
MsMemoryGAN: A Multi-scale Memory GAN for Palm-vein Adversarial
  Purification
MsMemoryGAN: A Multi-scale Memory GAN for Palm-vein Adversarial Purification
Huafeng Qin
Yuming Fu
Huiyan Zhang
M. El-Yacoubi
Xinbo Gao
Qun Song
Jun Wang
GANAAML
101
0
0
20 Aug 2024
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial
  Purification
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification
Hanrui Wang
Ruoxi Sun
Cunjian Chen
Minhui Xue
Lay-Ki Soon
Shuo Wang
Zhe Jin
DiffMAAML
92
2
0
20 Aug 2024
Privacy-preserving Universal Adversarial Defense for Black-box Models
Privacy-preserving Universal Adversarial Defense for Black-box Models
Qiao Li
Yanwei Yue
Jing Chen
Zijun Zhang
Kun He
Ruiying Du
Xinxin Wang
Qingchuang Zhao
Yang Liu
AAML
114
6
0
20 Aug 2024
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