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Online Adversarial Purification based on Self-Supervision

Online Adversarial Purification based on Self-Supervision

23 January 2021
Changhao Shi
Chester Holtz
Zhengchao Wan
    AAML
ArXiv (abs)PDFHTML

Papers citing "Online Adversarial Purification based on Self-Supervision"

40 / 40 papers shown
Title
Adversarial Examples in Environment Perception for Automated Driving (Review)
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan
Huilin Yin
AAML
81
0
0
11 Apr 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond
Qiongxiu Li
Xiaoyu Luo
Yiyi Chen
Johannes Bjerva
230
2
0
10 Mar 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness
Emanuele Ballarin
A. Ansuini
Luca Bortolussi
AAML
167
0
0
20 Feb 2025
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
Yihan Wang
Yiwei Lu
Xiao-Shan Gao
Gautam Kamath
Yaoliang Yu
86
0
0
30 Dec 2024
Achieving Domain-Independent Certified Robustness via Knowledge
  Continuity
Achieving Domain-Independent Certified Robustness via Knowledge Continuity
Alan Sun
Chiyu Ma
Kenneth Ge
Soroush Vosoughi
61
1
0
03 Nov 2024
DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination
DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination
Jia Fu
Xiao Zhang
Sepideh Pashami
Fatemeh Rahimian
Anders Holst
DiffMAAML
64
0
0
31 Oct 2024
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
Xiao-Li Li
Wenxuan Sun
Huanran Chen
Qiongxiu Li
Yining Liu
Yingzhe He
Jie Shi
Xiaolin Hu
AAML
173
12
0
01 Aug 2024
Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI
Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI
Robert Honig
Javier Rando
Nicholas Carlini
Florian Tramèr
WIGMAAML
122
21
0
17 Jun 2024
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial
  Training
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
Jiacheng Zhang
Feng Liu
Dawei Zhou
Jingfeng Zhang
Tongliang Liu
AAML
58
4
0
02 Jun 2024
Demonstration of an Adversarial Attack Against a Multimodal Vision
  Language Model for Pathology Imaging
Demonstration of an Adversarial Attack Against a Multimodal Vision Language Model for Pathology Imaging
Poojitha Thota
Jai Prakash Veerla
Partha Sai Guttikonda
M. Nasr
Shirin Nilizadeh
Jacob M. Luber
AAML
85
9
0
04 Jan 2024
Defenses in Adversarial Machine Learning: A Survey
Defenses in Adversarial Machine Learning: A Survey
Baoyuan Wu
Shaokui Wei
Mingli Zhu
Meixi Zheng
Zihao Zhu
Ruotong Wang
Hongrui Chen
Danni Yuan
Li Liu
Qingshan Liu
AAML
121
14
0
13 Dec 2023
Language Guided Adversarial Purification
Language Guided Adversarial Purification
Himanshu Singh
A. V. Subramanyam
AAML
76
2
0
19 Sep 2023
Advancing Adversarial Robustness Through Adversarial Logit Update
Advancing Adversarial Robustness Through Adversarial Logit Update
Hao Xuan
Peican Zhu
Xingyu Li
AAML
78
0
0
29 Aug 2023
Fast Adaptive Test-Time Defense with Robust Features
Fast Adaptive Test-Time Defense with Robust Features
Anurag Singh
Mahalakshmi Sabanayagam
Krikamol Muandet
Debarghya Ghoshdastidar
AAMLTTAOOD
42
0
0
21 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization
Enhancing Adversarial Robustness via Score-Based Optimization
Boya Zhang
Weijian Luo
Zhihua Zhang
DiffM
74
14
0
10 Jul 2023
Improving Adversarial Robustness of DEQs with Explicit Regulations Along
  the Neural Dynamics
Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics
Zonghan Yang
Peng Li
Tianyu Pang
Yang Liu
AAML
73
3
0
02 Jun 2023
The Best Defense is a Good Offense: Adversarial Augmentation against
  Adversarial Attacks
The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks
I. Frosio
Jan Kautz
AAML
98
15
0
23 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks &
  Defenses
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
120
62
0
18 May 2023
Diffusion Models for Imperceptible and Transferable Adversarial Attack
Diffusion Models for Imperceptible and Transferable Adversarial Attack
Jianqi Chen
Hechang Chen
Keyan Chen
Yilan Zhang
Zhengxia Zou
Z. Shi
DiffM
116
72
0
14 May 2023
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets
Weixin Chen
Basel Alomair
Yue Liu
DiffM
105
81
0
10 Mar 2023
Defending against Adversarial Audio via Diffusion Model
Defending against Adversarial Audio via Diffusion Model
Shutong Wu
Jiong Wang
Ming-Yu Liu
Weili Nie
Chaowei Xiao
DiffM
86
26
0
02 Mar 2023
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial
  Defense
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense
Zunzhi You
Daochang Liu
Bohyung Han
Chang Xu
AAMLVLM
87
4
0
02 Feb 2023
Robust Perception through Equivariance
Robust Perception through Equivariance
Chengzhi Mao
Lingyu Zhang
Abhishek Joshi
Junfeng Yang
Hongya Wang
Carl Vondrick
BDLAAML
88
8
0
12 Dec 2022
Adversarial Purification with the Manifold Hypothesis
Adversarial Purification with the Manifold Hypothesis
Zhaoyuan Yang
Zhiwei Xu
Jing Zhang
Leonid Sigal
Peter Tu
AAML
93
5
0
26 Oct 2022
Active Image Indexing
Active Image Indexing
Pierre Fernandez
Matthijs Douze
Hervé Jégou
Teddy Furon
VLM
65
10
0
05 Oct 2022
Guided Diffusion Model for Adversarial Purification
Guided Diffusion Model for Adversarial Purification
Jinyi Wang
Zhaoyang Lyu
Dahua Lin
Bo Dai
Hongfei Fu
DiffM
275
90
0
30 May 2022
Diffusion Models for Adversarial Purification
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
278
454
0
16 May 2022
Text Adversarial Purification as Defense against Adversarial Attacks
Text Adversarial Purification as Defense against Adversarial Attacks
Linyang Li
Demin Song
Xipeng Qiu
AAML
68
17
0
27 Mar 2022
Exploiting the Potential of Datasets: A Data-Centric Approach for Model
  Robustness
Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness
Yiqi Zhong
Lei Wu
Xianming Liu
Junjun Jiang
AAML
32
9
0
10 Mar 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Francesco Croce
Sven Gowal
T. Brunner
Evan Shelhamer
Matthias Hein
A. Cemgil
TTAAAML
237
70
0
28 Feb 2022
Improving Robustness with Image Filtering
Improving Robustness with Image Filtering
M. Terzi
Mattia Carletti
Gian Antonio Susto
AAML
58
0
0
21 Dec 2021
COMPOSER: Compositional Reasoning of Group Activity in Videos with
  Keypoint-Only Modality
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality
Honglu Zhou
Asim Kadav
Aviv Shamsian
Shijie Geng
Farley Lai
Long Zhao
Tingxi Liu
Mubbasir Kapadia
H. Graf
40
24
0
11 Dec 2021
Enhanced countering adversarial attacks via input denoising and feature
  restoring
Enhanced countering adversarial attacks via input denoising and feature restoring
Yanni Li
Wenhui Zhang
Jiawei Liu
Xiaoli Kou
Hui Li
Jiangtao Cui
AAML
61
2
0
19 Nov 2021
Adversarial Purification through Representation Disentanglement
Adversarial Purification through Representation Disentanglement
Tao Bai
Jun Zhao
Lanqing Guo
Bihan Wen
AAML
27
1
0
15 Oct 2021
Adversarially Robust One-class Novelty Detection
Adversarially Robust One-class Novelty Detection
Shao-Yuan Lo
Poojan Oza
Vishal M. Patel
AAML
69
32
0
25 Aug 2021
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
Duhun Hwang
Eunjung Lee
Wonjong Rhee
AAML
217
16
0
14 Jul 2021
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial
  Perturbations
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations
Sungmin Cha
Naeun Ko
Young Joon Yoo
Taesup Moon
AAML
49
2
0
22 Jun 2021
Adversarial purification with Score-based generative models
Adversarial purification with Score-based generative models
Jongmin Yoon
Sung Ju Hwang
Juho Lee
DiffM
90
159
0
11 Jun 2021
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial
  Attacks
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
Dequan Wang
An Ju
Evan Shelhamer
David Wagner
Trevor Darrell
AAML
116
27
0
18 May 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
350
707
0
19 Oct 2020
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