Diffusion Models for Adversarial Purification

16 May 2022

Papers citing "Diffusion Models for Adversarial Purification"

50 / 284 papers shown

Title
Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances Shilin Lu Zihan Zhou Jiayou Lu Yuanzhi Zhu A. Kong WIGM 94 10 0 24 Oct 2024
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost Cheng-Han Yeh Kuanchun Yu Chun-Shien Lu DiffM AAML 35 0 0 22 Oct 2024
Golyadkin's Torment: Doppelgängers and Adversarial Vulnerability George I. Kamberov AAML 29 0 0 17 Oct 2024
ACDC: Autoregressive Coherent Multimodal Generation using Diffusion Correction Hyungjin Chung Dohun Lee Jong Chul Ye VGen DiffM 24 2 0 07 Oct 2024
Robustness Reprogramming for Representation Learning Zhichao Hou MohamadAli Torkamani Hamid Krim Xiaorui Liu AAML OOD 29 1 0 06 Oct 2024
Configurable Multilingual ASR with Speech Summary Representations Harrison Zhu Ivan Fung Yingke Zhu Lahiru Samarakoon 26 0 0 06 Oct 2024
From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage Framework for Spatiotemporal Data Reconstruction Ziyu Sun Haoyang Su E. Wang Funing Yang Yongjian Yang Wenbin Liu AI4TS DiffM 31 0 0 05 Oct 2024
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization Tung M. Luu Thanh Nguyen Tee Joshua Tian Jin Sungwoon Kim Chang D. Yoo AAML 28 0 0 04 Oct 2024
Log-normal Mutations and their Use in Detecting Surreptitious Fake Images Ismail Labiad Thomas Bäck Pierre Fernandez Laurent Najman Tom Sander Furong Ye M. Zameshina Olivier Teytaud AAML 36 0 0 23 Sep 2024
Dormant: Defending against Pose-driven Human Image Animation Jiachen Zhou Mingsi Wang Tianlin Li Guozhu Meng Kai Chen 67 3 0 22 Sep 2024
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer Shihua Sun Kenechukwu Nwodo Shridatt Sugrim Angelos Stavrou Haining Wang AAML 26 1 0 20 Sep 2024
Real-world Adversarial Defense against Patch Attacks based on Diffusion Model Xingxing Wei Caixin Kang Yinpeng Dong Zhilin Wang Shouwei Ruan Yubo Chen Hang Su AAML DiffM 32 2 0 14 Sep 2024
High-Frequency Anti-DreamBooth: Robust Defense against Personalized Image Synthesis Takuto Onikubo Yusuke Matsui DiffM AAML 28 1 0 12 Sep 2024
Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks Md Zarif Hossain Ahmed Imteaj AAML VLM 43 3 0 11 Sep 2024
TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors Yichuan Mo Hui Huang Mingjie Li Ang Li Yisen Wang AAML DiffM 32 16 0 09 Sep 2024
MsMemoryGAN: A Multi-scale Memory GAN for Palm-vein Adversarial Purification Huafeng Qin Yuming Fu Huiyan Zhang M. El-Yacoubi Xinbo Gao Qun Song Jun Wang GAN AAML 18 0 0 20 Aug 2024
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification Hanrui Wang Ruoxi Sun Cunjian Chen Minhui Xue Lay-Ki Soon Shuo Wang Zhe Jin DiffM AAML 36 2 0 20 Aug 2024
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models Cong Wan Yuhang He Xiang Song Yihong Gong DiffM AAML 37 7 0 20 Aug 2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information Mingkun Zhang Jianing Li Wei Chen Jiafeng Guo Xueqi Cheng 39 6 0 12 Aug 2024
ReToMe-VA: Recursive Token Merging for Video Diffusion-based Unrestricted Adversarial Attack Ziyi Gao Kai-xiang Chen Zhipeng Wei Tingshu Mou Jingjing Chen Zhiyu Tan Hao Li Yu-Gang Jiang VGen AAML 36 2 0 10 Aug 2024
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model Yuanpu Cao Lu Lin Jinghui Chen DiffM 26 1 0 09 Aug 2024
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services Shaopeng Fu Xuexue Sun Ke Qing Tianhang Zheng Di Wang AAML MIACV SILM 59 0 0 05 Aug 2024
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack Kuo Gai Sicong Wang Shihua Zhang AAML 24 0 0 01 Aug 2024
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 58 7 0 01 Aug 2024
On the Perturbed States for Transformed Input-robust Reinforcement Learning Tung M. Luu Haeyong Kang Matthew Groh Thanh Nguyen Chang D. Yoo OOD AAML OffRL 26 0 0 31 Jul 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 44 1 0 26 Jul 2024
Variational Randomized Smoothing for Sample-Wise Adversarial Robustness Ryo Hase Ye Wang T. Koike-Akino Jing Liu K. Parsons AAML 23 0 0 16 Jul 2024
Refusing Safe Prompts for Multi-modal Large Language Models Zedian Shao Hongbin Liu Yuepeng Hu Neil Zhenqiang Gong MLLM LRM 41 1 0 12 Jul 2024
How to beat a Bayesian adversary Zihan Ding Kexin Jin J. Latz Chenguang Liu AAML BDL 38 0 0 11 Jul 2024
Certifiably Robust Image Watermark Zhengyuan Jiang Moyang Guo Yuepeng Hu Jinyuan Jia Neil Zhenqiang Gong WIGM AAML 38 5 0 04 Jul 2024
Learning Robust 3D Representation from CLIP via Dual Denoising Shuqing Luo Bowen Qu Wei-Nan Gao 44 1 0 01 Jul 2024
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness Yiquan Li Zhongzhu Chen Kun Jin Jiongxiao Wang Bo Li Chaowei Xiao DiffM 31 1 0 30 Jun 2024
On Discrete Prompt Optimization for Diffusion Models Ruochen Wang Ting Liu Cho-Jui Hsieh Boqing Gong DiffM 34 6 0 27 Jun 2024
Diffusion-based Adversarial Purification for Intrusion Detection Mohamed Amine Merzouk Erwan Beurier Reda Yaich Nora Boulahia-Cuppens Frédéric Cuppens AAML 31 0 0 25 Jun 2024
Semantic Deep Hiding for Robust Unlearnable Examples Ruohan Meng Chenyu Yi Yi Yu Siyuan Yang Bingquan Shen Alex C. Kot 46 5 0 25 Jun 2024
DataFreeShield: Defending Adversarial Attacks without Training Data Hyeyoon Lee Kanghyun Choi Dain Kwon Sunjong Park Mayoore S. Jaiswal Noseong Park Jonghyun Choi Jinho Lee 36 0 0 21 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 78 1 0 21 Jun 2024
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification Xianlong Wang Shengshan Hu Yechao Zhang Ziqi Zhou Leo Yu Zhang Peng Xu Wei Wan Hai Jin AAML 39 3 0 21 Jun 2024
Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI Robert Honig Javier Rando Nicholas Carlini Florian Tramèr WIGM AAML 47 16 0 17 Jun 2024
Adaptive Randomized Smoothing: Certifying Multi-Step Defences against Adversarial Examples Saiyue Lyu Shadab Shaikh Frederick Shpilevskiy Evan Shelhamer Mathias Lécuyer AAML 32 0 0 14 Jun 2024
Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models Changjiang Li Ren Pang Bochuan Cao Jinghui Chen Fenglong Ma Shouling Ji Ting Wang DiffM 36 3 0 14 Jun 2024
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models Qihao Liu Zhanpeng Zeng Ju He Qihang Yu Xiaohui Shen Liang-Chieh Chen 53 19 0 13 Jun 2024
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models Samar Fares Klea Ziu Toluwani Aremu N. Durasov Martin Takáč Pascal Fua Karthik Nandakumar Ivan Laptev VLM AAML 37 4 0 13 Jun 2024
Steganalysis on Digital Watermarking: Is Your Defense Truly Impervious? Pei Yang Hai Ci Yiren Song Mike Zheng Shou AAML 40 8 0 13 Jun 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint Jiacong Hu Jingwen Ye Zunlei Feng Jiazhen Yang Shunyu Liu Xiaotian Yu Lingxiang Jia Mingli Song AAML 39 2 0 13 Jun 2024
Texture Re-scalable Universal Adversarial Perturbation Yihao Huang Qing Guo Felix Juefei-Xu Ming Hu Xiaojun Jia Xiaochun Cao Geguang Pu Yang Liu AAML 32 7 0 10 Jun 2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models Hao Fang Jiawei Kong Wenbo Yu Bin Chen Jiawei Li Hao Wu Ke Xu Ke Xu AAML VLM 40 13 0 08 Jun 2024
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment Jiayi Guo Junhao Zhao Chunjiang Ge Chaoqun Du Zanlin Ni Shiji Song Humphrey Shi Gao Huang TTA DiffM 42 5 0 06 Jun 2024
ZeroPur: Succinct Training-Free Adversarial Purification Xiuli Bi Zonglin Yang Bo Liu Xiaodong Cun Chi-Man Pun Pietro Liò Bin Xiao 38 0 0 05 Jun 2024
DREW : Towards Robust Data Provenance by Leveraging Error-Controlled Watermarking Mehrdad Saberi Vinu Sankar Sadasivan Arman Zarei Hessam Mahdavifar S. Feizi 32 1 0 05 Jun 2024