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1706.06083
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Towards Deep Learning Models Resistant to Adversarial Attacks
19 June 2017
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
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Papers citing
"Towards Deep Learning Models Resistant to Adversarial Attacks"
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Title
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models
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Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks
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Jaydip Sen
Sneha Rakshit
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29
5
0
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A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse
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Lei Fang
Jingyu Lin
Yifei Qian
Shuai Zhao
Zeyu Wang
Zeyu Wang
Cunjian Chen
Ognjen Arandjelović
Chun Pong Lau
DiffM
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135
9
0
20 Aug 2024
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency
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Huanrui Yang
Jingyang Zhang
Mark Horton
Yiran Chen
AAML
90
0
0
19 Aug 2024
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis
Kira Maag
Roman Resner
Asja Fischer
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106
0
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19 Aug 2024
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving
Jun Yan
Pengyu Wang
Danni Wang
Weiquan Huang
Daniel Watzenig
Huilin Yin
AAML
VLM
81
4
0
19 Aug 2024
Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting
Yun-Da Tsai
Ting-Yu Yen
Keng-Te Liao
Shou-De Lin
88
2
0
19 Aug 2024
Towards Few-Shot Learning in the Open World: A Review and Beyond
Hui Xue
Yuexuan An
Yongchun Qin
Wenqian Li
Yixin Wu
Yongjuan Che
Pengfei Fang
Minling Zhang
OffRL
107
1
0
19 Aug 2024
Enhancing Adversarial Transferability with Adversarial Weight Tuning
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Zhou Feng
Rui Zeng
Yuwen Pu
Chunyi Zhou
Yi Jiang
Yuyou Gan
Jinbao Li
Shouling Ji
AAML
106
1
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18 Aug 2024
Adversarial Attacked Teacher for Unsupervised Domain Adaptive Object Detection
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Yinzhe Shen
Martin Lauer
AAML
78
0
0
18 Aug 2024
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization
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Xing Hu
Dong Li
Rui Zhang
Qi Guo
Kaidi Xu
DiffM
109
7
0
18 Aug 2024
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80
4
0
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DFT-Based Adversarial Attack Detection in MRI Brain Imaging: Enhancing Diagnostic Accuracy in Alzheimer's Case Studies
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Mohammad Morsali
Mohammadmahdi Vahediahmar
Saeed Bagheri Shouraki
AAML
MedIm
98
0
0
16 Aug 2024
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness
Hefei Mei
Minjing Dong
Chang Xu
AAML
178
0
0
16 Aug 2024
Exploring Cross-model Neuronal Correlations in the Context of Predicting Model Performance and Generalizability
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Lionel Levine
Majid Sarrafzadeh
48
2
0
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A Multi-task Adversarial Attack Against Face Authentication
Hanrui Wang
Shuo Wang
Cunjian Chen
Massimo Tistarelli
Zhe Jin
CVBM
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137
7
0
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Unlearnable Examples Detection via Iterative Filtering
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Qichen Zheng
Siyuan Yang
Wenhan Yang
Jun Liu
Shijian Lu
Yap-Peng Tan
Kwok-Yan Lam
Alex Kot
AAML
84
1
0
15 Aug 2024
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Chenyu Zhang
Jiahao Huang
Jianlong Zhou
Fang Chen
AAML
83
1
0
14 Aug 2024
Boosting Unconstrained Face Recognition with Targeted Style Adversary
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Sahar Rahimi Malakshan
Seyed Rasoul Hosseini
Nasser M. Nasrabadi
CVBM
74
0
0
14 Aug 2024
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis
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Liangwei Nathan Zheng
Weitong Chen
AI4TS
79
16
0
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Robust Black-box Testing of Deep Neural Networks using Co-Domain Coverage
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Indranil Saha
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AAML
MLAU
58
1
0
13 Aug 2024
DePatch: Towards Robust Adversarial Patch for Evading Person Detectors in the Real World
Jikang Cheng
Ying Zhang
Zhongyuan Wang
Zou Qin
Chen Li
AAML
51
0
0
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A-BDD: Leveraging Data Augmentations for Safe Autonomous Driving in Adverse Weather and Lighting
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Florens Gressner
Nitin Augustine
Jona Klemenc
Ahmed Hammam
Alexandre Krattinger
Holger Trittenbach
Sascha Riemer
67
2
0
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Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information
Mingkun Zhang
Jianing Li
Wei Chen
Jiafeng Guo
Xueqi Cheng
96
6
0
12 Aug 2024
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Kejia Zhang
Juanjuan Weng
Shaozi Li
Shaozi Li
AAML
84
0
0
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Generalizing Few Data to Unseen Domains Flexibly Based on Label Smoothing Integrated with Distributionally Robust Optimization
Yangdi Wang
Zhi-Hai Zhang
Su Xiu Xu
Wenming Guo
63
0
0
09 Aug 2024
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model
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Lu Lin
Jinghui Chen
DiffM
80
1
0
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Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
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Songze Li
Ye Xue
Jin Liu
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80
1
0
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Minh Vu
Ben Nebgen
E. Skau
Geigh Zollicoffer
Juan Castorena
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Boian S. Alexandrov
Manish Bhattarai
AAML
43
0
0
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Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks
Keiichiro Yamamura
Issa Oe
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Katsuki Fujisawa
AAML
86
0
0
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Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey
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Luan Ba Dang
Long Bao Le
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114
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Sample-agnostic Adversarial Perturbation for Vision-Language Pre-training Models
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Wenrui Li
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63
4
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AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning
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Kai-xiang Chen
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Jingjing Chen
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AAML
106
5
0
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Label Augmentation for Neural Networks Robustness
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90
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Joint Universal Adversarial Perturbations with Interpretations
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Zeyu Dai
Wenqi Fan
Jingran Su
Chao Pan
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Qing Li
AAML
72
2
0
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Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers
Weijie Zheng
Xingjun Ma
Hanxun Huang
Zuxuan Wu
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102
0
0
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Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
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Mingyu Lee
SangKeun Lee
93
12
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Certifiably Robust Encoding Schemes
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Tom Wollschlager
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J. M. Lorenz
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80
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Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition
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56
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PrivateGaze: Preserving User Privacy in Black-box Mobile Gaze Tracking Services
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Guohao Lan
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Deepfake Media Forensics: State of the Art and Challenges Ahead
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OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack
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ADBM: Adversarial diffusion bridge model for reliable adversarial purification
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Jie Shi
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