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2206.10875
Cited By
Guided Diffusion Model for Adversarial Purification from Random Noise
22 June 2022
Quanlin Wu
Hang Ye
Yuntian Gu
DiffM
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Papers citing
"Guided Diffusion Model for Adversarial Purification from Random Noise"
31 / 31 papers shown
DBLP: Noise Bridge Consistency Distillation For Efficient And Reliable Adversarial Purification
Chihan Huang
Belal Alsinglawi
Islam Al-qudah
DiffM
AAML
168
0
0
01 Aug 2025
LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
316
1
0
27 Feb 2025
Trustworthy Federated Learning: Privacy, Security, and Beyond
Knowledge and Information Systems (KAIS), 2024
Chunlu Chen
Ji Liu
Haowen Tan
Xingjian Li
Kevin I-Kai Wang
Peng Li
Kouichi Sakurai
Dejing Dou
FedML
293
46
0
03 Nov 2024
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost
Cheng-Han Yeh
Kuanchun Yu
Chun-Shien Lu
DiffM
AAML
551
1
0
22 Oct 2024
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2024
Hanrui Wang
Ruoxi Sun
Cunjian Chen
Minhui Xue
Lay-Ki Soon
Shuo Wang
Zhe Jin
DiffM
AAML
203
3
0
20 Aug 2024
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness
AAAI Conference on Artificial Intelligence (AAAI), 2024
Hefei Mei
Minjing Dong
Chang Xu
AAML
455
1
0
16 Aug 2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information
European Conference on Artificial Intelligence (ECAI), 2024
Mingkun Zhang
Jianing Li
Wei Chen
Jiafeng Guo
Xueqi Cheng
260
10
0
12 Aug 2024
RCDM: Enabling Robustness for Conditional Diffusion Model
Weifeng Xu
Xiang Zhu
Xiaoyong Li
AAML
258
0
0
05 Aug 2024
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
Yiquan Li
Zhongzhu Chen
Kun Jin
Jiongxiao Wang
Bo Li
Chaowei Xiao
DiffM
206
2
0
30 Jun 2024
Diffusion-based Adversarial Purification for Intrusion Detection
Mohamed Amine Merzouk
Erwan Beurier
Reda Yaich
Nora Boulahia-Cuppens
Frédéric Cuppens
AAML
319
0
0
25 Jun 2024
Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective
Yiming Liu
Kezhao Liu
Yao Xiao
Ziyi Dong
Xiaogang Xu
Pengxu Wei
Liang Lin
DiffM
269
2
0
22 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
Minshuo Chen
Song Mei
Jianqing Fan
Mengdi Wang
VLM
MedIm
DiffM
303
86
0
11 Apr 2024
Adversarial Guided Diffusion Models for Adversarial Purification
Neural Networks (NN), 2024
Guang Lin
Zerui Tao
Jianhai Zhang
Toshihisa Tanaka
Qibin Zhao
585
5
0
24 Mar 2024
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation
Mechanical systems and signal processing (MSSP), 2023
H. Yi
Lei Hou
Yuhong Jin
N. A. Saeed
Ali Kandil
Hao Duan
DiffM
182
55
0
13 Dec 2023
Adversarial defense based on distribution transfer
Jiahao Chen
Diqun Yan
Li Dong
187
0
0
23 Nov 2023
Diffusion models meet image counter-forensics
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Matías Tailanián
Marina Gardella
Álvaro Pardo
Pablo Musé
WIGM
266
8
0
22 Nov 2023
Asymmetric Diffusion Based Channel-Adaptive Secure Wireless Semantic Communications
Xintian Ren
Jun Wu
Hansong Xu
Qianqian Pan
DiffM
193
6
0
30 Oct 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness
Boya Zhang
Weijian Luo
Zhihua Zhang
232
16
0
28 Oct 2023
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
Neural Information Processing Systems (NeurIPS), 2023
Mintong Kang
Basel Alomair
Yue Liu
339
48
0
27 Oct 2023
Semantic Adversarial Attacks via Diffusion Models
British Machine Vision Conference (BMVC), 2023
Chenan Wang
Jinhao Duan
Chaowei Xiao
Edward Kim
Matthew C. Stamm
Kaidi Xu
DiffM
206
16
0
14 Sep 2023
DiffDefense: Defending against Adversarial Attacks via Diffusion Models
International Conference on Image Analysis and Processing (ICIAP), 2023
Hondamunige Prasanna Silva
Lorenzo Seidenari
Marco Bertini
DiffM
150
9
0
07 Sep 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
International Conference on Learning Representations (ICLR), 2023
Suttisak Wizadwongsa
Worameth Chinchuthakun
Pramook Khungurn
Amit Raj
Supasorn Suwajanakorn
DiffM
266
2
0
20 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization
Neural Information Processing Systems (NeurIPS), 2023
Boya Zhang
Weijian Luo
Zhihua Zhang
DiffM
344
18
0
10 Jul 2023
Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis
Yi Ma
Subrat Kishore Dutta
Xinlei He
Zheng Li
Michael Backes
Yang Zhang
AAML
WIGM
203
26
0
13 Jun 2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
Neural Information Processing Systems (NeurIPS), 2023
Haotian Xue
Alexandre Araujo
Bin Hu
Yongxin Chen
DiffM
485
80
0
25 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
IEEE Access (IEEE Access), 2023
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
371
108
0
18 May 2023
Class-Balancing Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2023
Yiming Qin
Huangjie Zheng
Jiangchao Yao
Mingyuan Zhou
Ya Zhang
DiffM
335
59
0
30 Apr 2023
Generative Diffusion Prior for Unified Image Restoration and Enhancement
Computer Vision and Pattern Recognition (CVPR), 2023
Ben Fei
Zhaoyang Lyu
Liang Pan
Junzhe Zhang
Weidong Yang
Tian-jian Luo
Bo Zhang
Bo Dai
DiffM
314
274
0
03 Apr 2023
Salient Conditional Diffusion for Defending Against Backdoor Attacks
Brandon B. May
N. Joseph Tatro
Dylan Walker
Piyush Kumar
N. Shnidman
DiffM
210
10
0
31 Jan 2023
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
International Conference on Learning Representations (ICLR), 2023
Suttisak Wizadwongsa
Supasorn Suwajanakorn
DiffM
236
17
0
27 Jan 2023
DensePure: Understanding Diffusion Models towards Adversarial Robustness
Chaowei Xiao
Zhongzhu Chen
Kun Jin
Zhenghao Hu
Weili Nie
Mingyan D. Liu
Anima Anandkumar
Yue Liu
Basel Alomair
DiffM
299
48
0
01 Nov 2022
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