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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
UnSeg: One Universal Unlearnable Example Generator is Enough against All
  Image Segmentation
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation
Ye Sun
Hao Zhang
Tiehua Zhang
Xingjun Ma
Yu-Gang Jiang
VLM
89
4
0
13 Oct 2024
Understanding Robustness of Parameter-Efficient Tuning for Image
  Classification
Understanding Robustness of Parameter-Efficient Tuning for Image Classification
Jiacheng Ruan
Xian Gao
Suncheng Xiang
Mingye Xie
Ting Liu
Yuzhuo Fu
AAMLVLM
44
0
0
13 Oct 2024
S$^4$ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
S4^44ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
Yongxiang Liu
Bowen Peng
Li Liu
Xuzhao Li
381
0
0
13 Oct 2024
On the Adversarial Transferability of Generalized "Skip Connections"
On the Adversarial Transferability of Generalized "Skip Connections"
Yisen Wang
Yichuan Mo
Dongxian Wu
Mingjie Li
Xingjun Ma
Zhouchen Lin
AAML
72
2
0
11 Oct 2024
JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent
  Enhanced Explanation Evaluation Framework
JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework
Fan Liu
Yue Feng
Zhao Xu
Lixin Su
Xinyu Ma
D. Yin
Hao Liu
ELM
105
15
0
11 Oct 2024
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic
  Knowledge Tuning
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning
Nusrat Jahan Prottasha
Asif Mahmud
Md. Shohanur Islam Sobuj
Prakash Bhat
Md. Kowsher
Niloofar Yousefi
O. Garibay
113
7
0
11 Oct 2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
C. Voelcker
Marcel Hussing
Eric Eaton
Amir-massoud Farahmand
Igor Gilitschenski
135
5
0
11 Oct 2024
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Binghui Li
Yuanzhi Li
OOD
94
4
0
11 Oct 2024
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven
  Argumentation
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation
Tomas Bueno Momcilovic
Beat Buesser
Giulio Zizzo
Mark Purcell
Tomas Bueno Momcilovic
AAML
60
2
0
10 Oct 2024
Understanding Adversarially Robust Generalization via Weight-Curvature
  Index
Understanding Adversarially Robust Generalization via Weight-Curvature Index
Yuelin Xu
Xiao Zhang
AAML
61
0
0
10 Oct 2024
Adversarial Robustness Overestimation and Instability in TRADES
Adversarial Robustness Overestimation and Instability in TRADES
Jonathan Weiping Li
Ren-Wei Liang
Cheng-Han Yeh
Cheng-Chang Tsai
Kuanchun Yu
Chun-Shien Lu
Shang-Tse Chen
AAML
93
0
0
10 Oct 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting
Jiahao Lu
Yifan Zhang
Qiuhong Shen
Xinchao Wang
Shuicheng Yan
3DGS
140
2
0
10 Oct 2024
Online Epsilon Net and Piercing Set for Geometric Concepts
Online Epsilon Net and Piercing Set for Geometric Concepts
Sujoy Bhore
Devdan Dey
Satyam Singh
33
1
0
09 Oct 2024
Faithful Interpretation for Graph Neural Networks
Faithful Interpretation for Graph Neural Networks
Lijie Hu
Tianhao Huang
Lu Yu
Wanyu Lin
Tianhang Zheng
Di Wang
76
3
0
09 Oct 2024
Adversarial Vulnerability as a Consequence of On-Manifold Inseparibility
Adversarial Vulnerability as a Consequence of On-Manifold Inseparibility
Rajdeep Haldar
Yue Xing
Qifan Song
Guang Lin
52
0
0
09 Oct 2024
Break the Visual Perception: Adversarial Attacks Targeting Encoded
  Visual Tokens of Large Vision-Language Models
Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens of Large Vision-Language Models
Yubo Wang
Chaohu Liu
Yanqiu Qu
Haoyu Cao
Deqiang Jiang
Linli Xu
MLLMAAML
52
3
0
09 Oct 2024
Can DeepFake Speech be Reliably Detected?
Can DeepFake Speech be Reliably Detected?
Hongbin Liu
Youzheng Chen
Arun Narayanan
Athula Balachandran
Pedro J. Moreno
Lun Wang
AAML
88
1
0
09 Oct 2024
Average Certified Radius is a Poor Metric for Randomized Smoothing
Average Certified Radius is a Poor Metric for Randomized Smoothing
Chenhao Sun
Yuhao Mao
Mark Niklas Muller
Martin Vechev
AAML
116
0
0
09 Oct 2024
JPEG Inspired Deep Learning
JPEG Inspired Deep Learning
Ahmed H. Salamah
Kaixiang Zheng
Yiwen Liu
En-Hui Yang
96
1
0
09 Oct 2024
Secure Video Quality Assessment Resisting Adversarial Attacks
Secure Video Quality Assessment Resisting Adversarial Attacks
Ao Zhang
Yu Ran
Weixuan Tang
Yuan-Gen Wang
Qingxiao Guan
Chunsheng Yang
AAML
73
0
0
09 Oct 2024
An Undetectable Watermark for Generative Image Models
An Undetectable Watermark for Generative Image Models
Sam Gunn
Xuandong Zhao
Dawn Song
WIGM
142
20
0
09 Oct 2024
Filtered Randomized Smoothing: A New Defense for Robust Modulation
  Classification
Filtered Randomized Smoothing: A New Defense for Robust Modulation Classification
Wenhan Zhang
Meiyu Zhong
Ravi Tandon
Marwan Krunz
AAML
69
1
0
08 Oct 2024
Unsupervised Model Diagnosis
Unsupervised Model Diagnosis
Yinong Wang
Eileen Li
Jinqi Luo
Zhaoning Wang
Fernando de la Torre
AAML
67
1
0
08 Oct 2024
Generalizing to any diverse distribution: uniformity, gentle finetuning
  and rebalancing
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing
Andreas Loukas
Karolis Martinkus
Ed Wagstaff
Kyunghyun Cho
OOD
82
1
0
08 Oct 2024
Hyper Adversarial Tuning for Boosting Adversarial Robustness of
  Pretrained Large Vision Models
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models
Kangtao Lv
Huangsen Cao
Kainan Tu
Yihuai Xu
Zhimeng Zhang
Xin Ding
Yongwei Wang
MoMeAAMLVLM
53
1
0
08 Oct 2024
CALoR: Towards Comprehensive Model Inversion Defense
CALoR: Towards Comprehensive Model Inversion Defense
Hongyao Yu
Yixiang Qiu
Hao Fang
Bin Chen
Sijin Yu
Bin Wang
Shu-Tao Xia
Ke Xu
82
1
0
08 Oct 2024
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image
  Editing
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
June Suk Choi
Kyungmin Lee
Jongheon Jeong
Saining Xie
Jinwoo Shin
Kimin Lee
DiffMAAML
65
4
0
08 Oct 2024
Unitary convolutions for learning on graphs and groups
Unitary convolutions for learning on graphs and groups
B. Kiani
Lukas Fesser
Melanie Weber
GNN
83
2
0
07 Oct 2024
LOTOS: Layer-wise Orthogonalization for Training Robust Ensembles
LOTOS: Layer-wise Orthogonalization for Training Robust Ensembles
A. Boroojeny
Hari Sundaram
Varun Chandrasekaran
AAML
62
1
0
07 Oct 2024
Collaboration! Towards Robust Neural Methods for Routing Problems
Collaboration! Towards Robust Neural Methods for Routing Problems
Jianan Zhou
Yaoxin Wu
Zhiguang Cao
Wen Song
Jie Zhang
Zhiqi Shen
AAML
79
3
0
07 Oct 2024
From Transparency to Accountability and Back: A Discussion of Access and
  Evidence in AI Auditing
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing
Sarah H. Cen
Rohan Alur
113
5
0
07 Oct 2024
Double Oracle Neural Architecture Search for Game Theoretic Deep
  Learning Models
Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models
Aye Phyu Phyu Aung
Xinrun Wang
Ruiyu Wang
Hau Chan
Bo An
Xiaoli Li
J. Senthilnath
AAML
53
0
0
07 Oct 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
Yongyi Su
Yushu Li
Nanqing Liu
Kui Jia
Xulei Yang
Chuan-Sheng Foo
Xun Xu
TTAAAML
161
1
0
07 Oct 2024
Robustness Reprogramming for Representation Learning
Robustness Reprogramming for Representation Learning
Zhichao Hou
MohamadAli Torkamani
Hamid Krim
Xiaorui Liu
AAMLOOD
81
1
0
06 Oct 2024
Impact of Regularization on Calibration and Robustness: from the
  Representation Space Perspective
Impact of Regularization on Calibration and Robustness: from the Representation Space Perspective
Jonghyun Park
Juyeop Kim
Jong-Seok Lee
79
1
0
05 Oct 2024
Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks
Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks
Zi Wang
Divyam Anshumaan
Ashish Hooda
Yudong Chen
Somesh Jha
AAML
96
0
0
05 Oct 2024
A Brain-Inspired Regularizer for Adversarial Robustness
A Brain-Inspired Regularizer for Adversarial Robustness
Elie Attias
Cengiz Pehlevan
D. Obeid
AAMLOOD
71
0
0
04 Oct 2024
Verification of Neural Control Barrier Functions with Symbolic
  Derivative Bounds Propagation
Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation
Hanjiang Hu
Yujie Yang
Tianhao Wei
Changliu Liu
AAML
68
9
0
04 Oct 2024
Gradient-based Jailbreak Images for Multimodal Fusion Models
Gradient-based Jailbreak Images for Multimodal Fusion Models
Javier Rando
Hannah Korevaar
Erik Brinkman
Ivan Evtimov
Florian Tramèr
AAML
78
3
0
04 Oct 2024
GraphCroc: Cross-Correlation Autoencoder for Graph Structural
  Reconstruction
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
Shijin Duan
Ruyi Ding
Jiaxing He
A. A. Ding
Yunsi Fei
Xiaolin Xu
51
0
0
04 Oct 2024
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via
  Vector Quantization
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization
Tung M. Luu
Thanh Nguyen
Tee Joshua Tian Jin
Sungwoon Kim
Chang D. Yoo
AAML
83
0
0
04 Oct 2024
Towards Universal Certified Robustness with Multi-Norm Training
Towards Universal Certified Robustness with Multi-Norm Training
Enyi Jiang
Gagandeep Singh
Gagandeep Singh
AAML
136
1
0
03 Oct 2024
HiddenGuard: Fine-Grained Safe Generation with Specialized
  Representation Router
HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router
Lingrui Mei
Shenghua Liu
Yiwei Wang
Baolong Bi
Ruibin Yuan
Xueqi Cheng
113
5
0
03 Oct 2024
Obtaining Lower Query Complexities through Lightweight Zeroth-Order
  Proximal Gradient Algorithms
Obtaining Lower Query Complexities through Lightweight Zeroth-Order Proximal Gradient Algorithms
Bin Gu
Xiyuan Wei
Hualin Zhang
Yi Chang
Heng-Chiao Huang
FedML
64
0
0
03 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Shuangpeng Han
Mengmi Zhang
415
0
0
03 Oct 2024
Impact of White-Box Adversarial Attacks on Convolutional Neural Networks
Impact of White-Box Adversarial Attacks on Convolutional Neural Networks
Rakesh Podder
Sudipto Ghosh
AAML
60
1
0
02 Oct 2024
Learning-Augmented Robust Algorithmic Recourse
Learning-Augmented Robust Algorithmic Recourse
Kshitij Kayastha
Vasilis Gkatzelis
Shahin Jabbari
84
0
0
02 Oct 2024
FlipAttack: Jailbreak LLMs via Flipping
FlipAttack: Jailbreak LLMs via Flipping
Yue Liu
Xiaoxin He
Miao Xiong
Jinlan Fu
Shumin Deng
Bryan Hooi
AAML
98
17
0
02 Oct 2024
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
Gabriel Kasmi
Amandine Brunetto
Thomas Fel
Jayneel Parekh
AAMLFAtt
87
0
0
02 Oct 2024
On Using Certified Training towards Empirical Robustness
On Using Certified Training towards Empirical Robustness
Alessandro De Palma
Serge Durand
Zakaria Chihani
François Terrier
Caterina Urban
OODAAML
114
1
0
02 Oct 2024
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