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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
Detecting and Understanding Vulnerabilities in Language Models via
  Mechanistic Interpretability
Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability
Jorge García-Carrasco
A. Maté
Juan Trujillo
AAML
77
3
0
29 Jul 2024
Enhancing Adversarial Text Attacks on BERT Models with Projected
  Gradient Descent
Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent
Hetvi Waghela
Jaydip Sen
Sneha Rakshit
AAMLSILM
76
3
0
29 Jul 2024
Exploring the Adversarial Robustness of CLIP for AI-generated Image
  Detection
Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection
Vincenzo De Rosa
Fabrizio Guillaro
Giovanni Poggi
D. Cozzolino
L. Verdoliva
AAML
106
9
0
28 Jul 2024
Towards Clean-Label Backdoor Attacks in the Physical World
Towards Clean-Label Backdoor Attacks in the Physical World
Thinh Dao
Cuong Chi Le
Khoa D. Doan
Kok-Seng Wong
AAML
84
1
0
27 Jul 2024
Adversarial Robustification via Text-to-Image Diffusion Models
Adversarial Robustification via Text-to-Image Diffusion Models
Daewon Choi
Jongheon Jeong
Huiwon Jang
Jinwoo Shin
DiffM
113
2
0
26 Jul 2024
NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level
  Semantic Slicing
NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level Semantic Slicing
Shide Zhou
Tianlin Li
Yihao Huang
Ling Shi
Kailong Wang
Yang Liu
Haoyu Wang
48
0
0
26 Jul 2024
Sparse vs Contiguous Adversarial Pixel Perturbations in Multimodal
  Models: An Empirical Analysis
Sparse vs Contiguous Adversarial Pixel Perturbations in Multimodal Models: An Empirical Analysis
Cristian-Alexandru Botocan
Raphael Meier
Ljiljana Dolamic
AAML
66
0
0
25 Jul 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical
  Context Descriptions
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
Kai-Chun Liu
Zhihang Fu
Chao Chen
Sheng Jin
Ze Chen
Mingyuan Tao
Rongxin Jiang
Jieping Ye
VLMOODD
106
5
0
23 Jul 2024
CloudFixer: Test-Time Adaptation for 3D Point Clouds via
  Diffusion-Guided Geometric Transformation
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation
Hajin Shim
Changhun Kim
Eunho Yang
TTA
64
7
0
23 Jul 2024
Revisiting the Robust Alignment of Circuit Breakers
Revisiting the Robust Alignment of Circuit Breakers
Leo Schwinn
Simon Geisler
AAML
88
7
0
22 Jul 2024
On Feasibility of Intent Obfuscating Attacks
On Feasibility of Intent Obfuscating Attacks
Zhaobin Li
Patrick Shafto
AAML
68
0
0
22 Jul 2024
Towards Robust Vision Transformer via Masked Adaptive Ensemble
Towards Robust Vision Transformer via Masked Adaptive Ensemble
Fudong Lin
Jiadong Lou
Xu Yuan
Nianfeng Tzeng
ViTAAML
95
2
0
22 Jul 2024
ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition
ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition
Mohammad Saeed Ebrahimi Saadabadi
Sahar Rahimi Malakshan
Ali Dabouei
Nasser M. Nasrabadi
CVBMAAML
99
5
0
20 Jul 2024
Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and
  Semantically-Rich Vision-Language Models
Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models
Md Zarif Hossain
Ahmed Imteaj
VLMAAML
66
6
0
20 Jul 2024
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)
Apurv Verma
Satyapriya Krishna
Sebastian Gehrmann
Madhavan Seshadri
Anu Pradhan
Tom Ault
Leslie Barrett
David Rabinowitz
John Doucette
Nhathai Phan
129
15
0
20 Jul 2024
Beyond Dropout: Robust Convolutional Neural Networks Based on Local
  Feature Masking
Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking
Yunpeng Gong
Chuangliang Zhang
Yongjie Hou
Lifei Chen
Min Jiang
AAML
54
15
0
18 Jul 2024
GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance
  Fields
GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields
Xiufeng Huang
Ka Chun Cheung
Simon See
Renjie Wan
107
6
0
18 Jul 2024
CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative
  Coevolution
CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution
J. Reif
Jiakang Li
Songning Lai
Alexander Fay
AAML
77
0
0
18 Jul 2024
PG-Attack: A Precision-Guided Adversarial Attack Framework Against
  Vision Foundation Models for Autonomous Driving
PG-Attack: A Precision-Guided Adversarial Attack Framework Against Vision Foundation Models for Autonomous Driving
Jiyuan Fu
Zhaoyu Chen
Kaixun Jiang
Haijing Guo
Shuyong Gao
Wenqiang Zhang
AAML
83
1
0
18 Jul 2024
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls
Aras Selvi
Eleonora Kreacic
Mohsen Ghassemi
Vamsi K. Potluru
T. Balch
Manuela Veloso
141
0
0
18 Jul 2024
Improving SAM Requires Rethinking its Optimization Formulation
Improving SAM Requires Rethinking its Optimization Formulation
Wanyun Xie
Fabian Latorre
Kimon Antonakopoulos
Thomas Pethick
Volkan Cevher
95
2
0
17 Jul 2024
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream
  Tasks
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks
Antoni Kowalczuk
Jan Dubiñski
Atiyeh Ashari Ghomi
Yi Sui
George Stein
Jiapeng Wu
Jesse C. Cresswell
Franziska Boenisch
Adam Dziedzic
SSLAAML
80
3
0
17 Jul 2024
Data-driven Verification of DNNs for Object Recognition
Data-driven Verification of DNNs for Object Recognition
Clemens Otte
Yinchong Yang
Danny Benlin Oswan
AAML
72
0
0
17 Jul 2024
Preventing Catastrophic Overfitting in Fast Adversarial Training: A
  Bi-level Optimization Perspective
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective
Zhaoxin Wang
Handing Wang
Cong Tian
Yaochu Jin
AAML
104
3
0
17 Jul 2024
Variational Randomized Smoothing for Sample-Wise Adversarial Robustness
Variational Randomized Smoothing for Sample-Wise Adversarial Robustness
Ryo Hase
Ye Wang
T. Koike-Akino
Jing Liu
K. Parsons
AAML
41
0
0
16 Jul 2024
Learning on Graphs with Large Language Models(LLMs): A Deep Dive into
  Model Robustness
Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness
Kai Guo
Zewen Liu
Zhikai Chen
Hongzhi Wen
Wei Jin
Jiliang Tang
Yi Chang
AAML
75
6
0
16 Jul 2024
Investigating Imperceptibility of Adversarial Attacks on Tabular Data:
  An Empirical Analysis
Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis
Zhipeng He
Chun Ouyang
Laith Alzubaidi
Alistair Barros
Catarina Moreira
AAML
77
1
0
16 Jul 2024
Model Inversion Attacks Through Target-Specific Conditional Diffusion
  Models
Model Inversion Attacks Through Target-Specific Conditional Diffusion Models
Ouxiang Li
Yanbin Hao
Zhicai Wang
Bin Zhu
Shuo Wang
Zaixi Zhang
Fuli Feng
DiffM
60
3
0
16 Jul 2024
Does Refusal Training in LLMs Generalize to the Past Tense?
Does Refusal Training in LLMs Generalize to the Past Tense?
Maksym Andriushchenko
Nicolas Flammarion
142
36
0
16 Jul 2024
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge
Hao Ding
Tuxun Lu
Yuqian Zhang
Ruixing Liang
Hongchao Shu
...
Bo Wang
Marcos Fernández-Rodríguez
Estevao Lima
João L. Vilaça
Mathias Unberath
255
4
0
16 Jul 2024
Towards Adversarially Robust Vision-Language Models: Insights from
  Design Choices and Prompt Formatting Techniques
Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques
Rishika Bhagwatkar
Shravan Nayak
Reza Bayat
Alexis Roger
Daniel Z Kaplan
P. Bashivan
Irina Rish
AAMLVLM
84
2
0
15 Jul 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust
  Recognition
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition
Xiao-Li Li
Yining Liu
Na Dong
Sitian Qin
Xiaolin Hu
87
4
0
15 Jul 2024
Backdoor Attacks against Image-to-Image Networks
Backdoor Attacks against Image-to-Image Networks
Wenbo Jiang
Hongwei Li
Jiaming He
Rui Zhang
Guowen Xu
Tianwei Zhang
Rongxing Lu
AAML
71
5
0
15 Jul 2024
An integrated perspective of robustness in regression through the lens
  of the bias-variance trade-off
An integrated perspective of robustness in regression through the lens of the bias-variance trade-off
Akifumi Okuno
65
0
0
15 Jul 2024
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
Mang Ning
A. A. Salah
Itir Onal Ertugrul
CVBM
178
5
0
15 Jul 2024
Disrupting Diffusion-based Inpainters with Semantic Digression
Disrupting Diffusion-based Inpainters with Semantic Digression
Geonho Son
Juhun Lee
Simon S. Woo
DiffM
65
4
0
14 Jul 2024
Transferable 3D Adversarial Shape Completion using Diffusion Models
Transferable 3D Adversarial Shape Completion using Diffusion Models
Xuelong Dai
Bin Xiao
DiffM3DPC
99
0
0
14 Jul 2024
Augmented Neural Fine-Tuning for Efficient Backdoor Purification
Augmented Neural Fine-Tuning for Efficient Backdoor Purification
Nazmul Karim
Abdullah Al Arafat
Umar Khalid
Zhishan Guo
Nazanin Rahnavard
AAML
94
1
0
14 Jul 2024
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled
  Images
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images
Mingyuan Fan
Yang Liu
Cen Chen
Ximeng Liu
AAML
62
0
0
13 Jul 2024
Deep Adversarial Defense Against Multilevel-Lp Attacks
Deep Adversarial Defense Against Multilevel-Lp Attacks
Ren Wang
Yuxuan Li
Alfred Hero
AAML
68
0
0
12 Jul 2024
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying
  Harder Pays Off
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off
L. Halmosi
Bálint Mohos
Márk Jelasity
AAML
76
1
0
12 Jul 2024
Refusing Safe Prompts for Multi-modal Large Language Models
Refusing Safe Prompts for Multi-modal Large Language Models
Zedian Shao
Hongbin Liu
Yuepeng Hu
Neil Zhenqiang Gong
MLLMLRM
82
1
0
12 Jul 2024
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on
  Robustness
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness
Honghao Chen
Yurong Zhang
Xiaokun Feng
Xiangxiang Chu
Kaiqi Huang
AAML
83
6
0
12 Jul 2024
Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey
Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey
Laniqng Guo
Chong Wang
Yufei Wang
Siyu Huang
Wenhan Yang
Alex C. Kot
Bihan Wen
97
6
0
11 Jul 2024
How to beat a Bayesian adversary
How to beat a Bayesian adversary
Zihan Ding
Kexin Jin
J. Latz
Chenguang Liu
AAMLBDL
82
0
0
11 Jul 2024
Controlling the Fidelity and Diversity of Deep Generative Models via
  Pseudo Density
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density
Shuangqi Li
Chen Liu
Tong Zhang
Hieu Le
Sabine Süsstrunk
Mathieu Salzmann
DiffM
99
2
0
11 Jul 2024
Quantitative Evaluation of the Saliency Map for Alzheimer's Disease
  Classifier with Anatomical Segmentation
Quantitative Evaluation of the Saliency Map for Alzheimer's Disease Classifier with Anatomical Segmentation
Yihan Zhang
Xuanshuo Zhang
Wei Wu
Haohan Wang
72
0
0
11 Jul 2024
Rethinking the Threat and Accessibility of Adversarial Attacks against
  Face Recognition Systems
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems
Yuxin Cao
Yumeng Zhu
Derui Wang
Sheng Wen
Minhui Xue
Jin Lu
Hao Ge
AAML
73
0
0
11 Jul 2024
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks
Raffaele Mura
Giuseppe Floris
Luca Scionis
Giorgio Piras
Maura Pintor
Ambra Demontis
Giorgio Giacinto
Battista Biggio
Fabio Roli
AAML
88
0
0
11 Jul 2024
A Comprehensive Survey on the Security of Smart Grid: Challenges,
  Mitigations, and Future Research Opportunities
A Comprehensive Survey on the Security of Smart Grid: Challenges, Mitigations, and Future Research Opportunities
Arastoo Zibaeirad
Farnoosh Koleini
Shengping Bi
Tao Hou
Tao Wang
AAML
81
16
0
10 Jul 2024
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