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Towards Deep Learning Models Resistant to Adversarial Attacks

Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017
A. Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
    SILM
    OOD
ArXivPDFHTML

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

50 / 6,484 papers shown
Title
How vulnerable is my policy? Adversarial attacks on modern behavior cloning policies
How vulnerable is my policy? Adversarial attacks on modern behavior cloning policies
Basavasagar Patil
Akansha Kalra
Guanhong Tao
Daniel S. Brown
AAML
74
0
0
06 Feb 2025
Improving Adversarial Robustness via Phase and Amplitude-aware Prompting
Improving Adversarial Robustness via Phase and Amplitude-aware Prompting
Yibo Xu
Dawei Zhou
Decheng Liu
N. Wang
AAML
52
0
0
06 Feb 2025
INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy
INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy
Nastaran Darabi
Divake Kumar
Sina Tayebati
A. R. Trivedi
AAML
60
0
0
04 Feb 2025
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models
Amy Rafferty
Rishi Ramaesh
Ajitha Rajan
MedIm
AAML
51
0
0
04 Feb 2025
Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning
Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning
Bangzhen Liu
Chenxi Zheng
Xuemiao Xu
Cheng Xu
Huaidong Zhang
Shengfeng He
3DPC
37
1
0
04 Feb 2025
Achievable distributional robustness when the robust risk is only partially identified
Achievable distributional robustness when the robust risk is only partially identified
Julia Kostin
Nicola Gnecco
Fanny Yang
71
3
0
04 Feb 2025
Analytical Lyapunov Function Discovery: An RL-based Generative Approach
Analytical Lyapunov Function Discovery: An RL-based Generative Approach
Haohan Zou
Jie Feng
Hao Zhao
Yuanyuan Shi
90
0
0
04 Feb 2025
Adversarial ML Problems Are Getting Harder to Solve and to Evaluate
Adversarial ML Problems Are Getting Harder to Solve and to Evaluate
Javier Rando
Jie Zhang
Nicholas Carlini
F. Tramèr
AAML
ELM
54
3
0
04 Feb 2025
Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models
Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models
H. Malik
Fahad Shamshad
Muzammal Naseer
Karthik Nandakumar
F. Khan
Salman Khan
AAML
MLLM
VLM
66
0
0
03 Feb 2025
MoireDB: Formula-generated Interference-fringe Image Dataset
MoireDB: Formula-generated Interference-fringe Image Dataset
Yuto Matsuo
Ryo Hayamizu
Hirokatsu Kataoka
Akio Nakamura
37
0
0
03 Feb 2025
Towards Robust Multimodal Large Language Models Against Jailbreak Attacks
Towards Robust Multimodal Large Language Models Against Jailbreak Attacks
Ziyi Yin
Yuanpu Cao
Han Liu
Ting Wang
Jinghui Chen
Fenhlong Ma
AAML
50
0
0
02 Feb 2025
Imitation Game for Adversarial Disillusion with Multimodal Generative Chain-of-Thought Role-Play
Imitation Game for Adversarial Disillusion with Multimodal Generative Chain-of-Thought Role-Play
Ching-Chun Chang
Fan-Yun Chen
Shih-Hong Gu
Kai Gao
Hanrui Wang
Isao Echizen
AAML
137
0
0
31 Jan 2025
Understanding Oversmoothing in GNNs as Consensus in Opinion Dynamics
Understanding Oversmoothing in GNNs as Consensus in Opinion Dynamics
Keqin Wang
Yulong Yang
Ishan Saha
Christine Allen-Blanchette
51
1
0
31 Jan 2025
Trading Inference-Time Compute for Adversarial Robustness
Trading Inference-Time Compute for Adversarial Robustness
Wojciech Zaremba
Evgenia Nitishinskaya
Boaz Barak
Stephanie Lin
Sam Toyer
...
Rachel Dias
Eric Wallace
Kai Y. Xiao
Johannes Heidecke
Amelia Glaese
LRM
AAML
87
15
0
31 Jan 2025
Scanning Trojaned Models Using Out-of-Distribution Samples
Scanning Trojaned Models Using Out-of-Distribution Samples
Hossein Mirzaei
Ali Ansari
Bahar Dibaei Nia
Mojtaba Nafez
Moein Madadi
...
Kian Shamsaie
Mahdi Hajialilue
Jafar Habibi
Mohammad Sabokrou
M. Rohban
OODD
61
2
0
28 Jan 2025
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
Dingkang Yang
Dongling Xiao
Jinjie Wei
Mingcheng Li
Zhaoyu Chen
Ke Li
L. Zhang
HILM
92
3
0
28 Jan 2025
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems
Quoc Tran-Dinh
Yang Luo
89
6
0
28 Jan 2025
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
Tianyi Lin
Chi Jin
Michael I. Jordan
52
6
0
28 Jan 2025
Killing it with Zero-Shot: Adversarially Robust Novelty Detection
Hossein Mirzaei
Mohammad Jafari
Hamid Reza Dehbashi
Zeinab Sadat Taghavi
Mohammad Sabokrou
M. Rohban
69
1
0
28 Jan 2025
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks
Huifeng Yin
Hanle Zheng
Jiayi Mao
Siyuan Ding
Xing Liu
M. Xu
Yifan Hu
Jing Pei
Lei Deng
44
1
0
28 Jan 2025
Feasible Learning
Juan Ramirez
Ignacio Hounie
Juan Elenter
Jose Gallego-Posada
Meraj Hashemizadeh
Alejandro Ribeiro
Simon Lacoste-Julien
34
0
0
28 Jan 2025
Autoencoders for Anomaly Detection are Unreliable
Autoencoders for Anomaly Detection are Unreliable
Roel Bouman
Tom Heskes
38
1
0
23 Jan 2025
Enhancing Robust Fairness via Confusional Spectral Regularization
Enhancing Robust Fairness via Confusional Spectral Regularization
Gaojie Jin
Sihao Wu
Jiaxu Liu
Tianjin Huang
Ronghui Mu
74
1
0
22 Jan 2025
Robust Representation Consistency Model via Contrastive Denoising
Robust Representation Consistency Model via Contrastive Denoising
Jiachen Lei
Julius Berner
Jiongxiao Wang
Zhongzhu Chen
Zhongjia Ba
Kui Ren
Jun Zhu
Anima Anandkumar
DiffM
77
0
0
22 Jan 2025
With Great Backbones Comes Great Adversarial Transferability
With Great Backbones Comes Great Adversarial Transferability
Erik Arakelyan
Karen Hambardzumyan
Davit Papikyan
Pasquale Minervini
Albert Gordo
Isabelle Augenstein
Aram H. Markosyan
AAML
65
0
0
21 Jan 2025
On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing
On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing
Tao Bai
Xingjian Tian
Yonghao Xu
B. Wen
AAML
41
0
0
20 Jan 2025
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers
Matan Ben-Tov
Daniel Deutch
Nave Frost
Mahmood Sharif
AAML
107
0
0
20 Jan 2025
MRI2Speech: Speech Synthesis from Articulatory Movements Recorded by Real-time MRI
MRI2Speech: Speech Synthesis from Articulatory Movements Recorded by Real-time MRI
N. Shah
Ayan Kashyap
Shirish S. Karande
Vineet Gandhi
47
0
0
20 Jan 2025
On the Hypomonotone Class of Variational Inequalities
On the Hypomonotone Class of Variational Inequalities
Khaled Alomar
Tatjana Chavdarova
33
0
0
20 Jan 2025
Geometric Median (GM) Matching for Robust Data Pruning
Geometric Median (GM) Matching for Robust Data Pruning
Anish Acharya
Inderjit S Dhillon
Sujay Sanghavi
AAML
59
0
0
20 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
Nicolas Atienza
Christophe Labreuche
Johanne Cohen
Michele Sebag
OODD
AAML
124
0
0
20 Jan 2025
Differentiable Adversarial Attacks for Marked Temporal Point Processes
Differentiable Adversarial Attacks for Marked Temporal Point Processes
Pritish Chakraborty
Vinayak Gupta
R. Raj
Srikanta J. Bedathur
A. De
AAML
161
0
0
17 Jan 2025
On the uncertainty principle of neural networks
On the uncertainty principle of neural networks
Jun-Jie Zhang
Dong-xiao Zhang
Jian-Nan Chen
L. Pang
Deyu Meng
57
2
0
17 Jan 2025
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis
Jiajin Li
Lingling Zhu
Anthony Man-Cho So
46
4
0
17 Jan 2025
Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics
Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics
Georgii Gotin
E. Shumitskaya
Anastasia Antsiferova
D. Vatolin
AAML
38
0
0
14 Jan 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
Ping Guo
Cheng Gong
Xi Victoria Lin
Fei Liu
Zhichao Lu
Qingfu Zhang
Zhenkun Wang
AAML
41
0
0
13 Jan 2025
Uncertainty Guarantees on Automated Precision Weeding using Conformal Prediction
Uncertainty Guarantees on Automated Precision Weeding using Conformal Prediction
P. Melki
Lionel Bombrun
Boubacar Diallo
Jérôme Dias
Jean-Pierre da Costa
41
0
0
13 Jan 2025
Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities
Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities
Jialin Wu
Kaikai Pan
Yanjiao Chen
Jiangyi Deng
Shengyuan Pang
Wenyuan Xu
ViT
AAML
43
0
0
13 Jan 2025
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training
Hongxin Zhi
Hongtao Yu
Shaome Li
Xiuming Zhao
Yiteng Wu
OOD
33
0
0
08 Jan 2025
Constrained Sampling with Primal-Dual Langevin Monte Carlo
Constrained Sampling with Primal-Dual Langevin Monte Carlo
Luiz F. O. Chamon
Mohammad Reza Karimi
Anna Korba
26
0
0
08 Jan 2025
Stability and Generalization in Free Adversarial Training
Stability and Generalization in Free Adversarial Training
Xiwei Cheng
Kexin Fu
Farzan Farnia
AAML
44
2
0
08 Jan 2025
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
Yang Wang
Chenghua Lin
ELM
35
0
0
05 Jan 2025
GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection
Yihang Tao
Senkang Hu
Yue Hu
Haonan An
Hangcheng Cao
Yuguang Fang
AAML
42
1
0
05 Jan 2025
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50
Umesh Yadav
Suman Niraula
Gaurav Kumar Gupta
Bicky Yadav
SILM
35
0
0
04 Jan 2025
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models
Martin Pawelczyk
Lillian Sun
Zhenting Qi
Aounon Kumar
Himabindu Lakkaraju
38
1
0
03 Jan 2025
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks
Teng Li
Xingjun Ma
Yu-Gang Jiang
AAML
DiffM
22
0
0
03 Jan 2025
Boosting Adversarial Transferability with Spatial Adversarial Alignment
Zhaoyu Chen
Haijing Guo
Kaixun Jiang
Jiyuan Fu
Xinyu Zhou
Dingkang Yang
H. Tang
Bo-wen Li
Wenqiang Zhang
AAML
38
0
0
03 Jan 2025
Region-Guided Attack on the Segment Anything Model (SAM)
Region-Guided Attack on the Segment Anything Model (SAM)
Xiaoliang Liu
F. Shen
Jian Zhao
AAML
28
0
0
03 Jan 2025
Image-based Multimodal Models as Intruders: Transferable Multimodal Attacks on Video-based MLLMs
Image-based Multimodal Models as Intruders: Transferable Multimodal Attacks on Video-based MLLMs
Linhao Huang
Xue Jiang
Zhiqiang Wang
Wentao Mo
Xi Xiao
Bo Han
Yongjie Yin
Feng Zheng
AAML
49
2
0
02 Jan 2025
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification
Chunheng Zhao
P. Pisu
G. Comert
N. Begashaw
Varghese Vaidyan
Nina Christine Hubig
AAML
24
0
0
31 Dec 2024
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