Diffusion Models for Adversarial Purification

16 May 2022

Papers citing "Diffusion Models for Adversarial Purification"

50 / 284 papers shown

Title
Post-train Black-box Defense via Bayesian Boundary Correction He-Nan Wang Yunfeng Diao AAML 42 1 0 29 Jun 2023
Visual Adversarial Examples Jailbreak Aligned Large Language Models Xiangyu Qi Kaixuan Huang Ashwinee Panda Peter Henderson Mengdi Wang Prateek Mittal AAML 25 138 0 22 Jun 2023
DiffWA: Diffusion Models for Watermark Attack Xinyu Li WIGM 12 4 0 22 Jun 2023
You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks Edward Raff M. Benaroch Andrew L. Farris AAML 22 2 0 16 Jun 2023
Fast Training of Diffusion Models with Masked Transformers Hongkai Zheng Weili Nie Arash Vahdat Anima Anandkumar DiffM 39 68 0 15 Jun 2023
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers Chandramouli Shama Sastry Sri Harsha Dumpala Sageev Oore 30 0 0 15 Jun 2023
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks Cai Kang Yinpeng Dong Zhengyi Wang Shouwei Ruan Yubo Chen Hang Su Xingxing Wei AAML DiffM 22 11 0 15 Jun 2023
Distribution Shift Inversion for Out-of-Distribution Prediction Runpeng Yu Songhua Liu Xingyi Yang Xinchao Wang OODD 18 18 0 14 Jun 2023
Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis Y. Ma Zhengyu Zhao Xinlei He Zheng Li Michael Backes Yang Zhang AAML WIGM 16 21 0 13 Jun 2023
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions D. Thaker Paris V. Giampouras René Vidal AAML 24 0 0 07 Jun 2023
Spear or Shield: Leveraging Generative AI to Tackle Security Threats of Intelligent Network Services Hongyang Du Dusit Niyato Jiawen Kang Zehui Xiong K. Lam Ya-Nan Fang Yonghui Li AAML 23 13 0 04 Jun 2023
Invisible Image Watermarks Are Provably Removable Using Generative AI Xuandong Zhao Kexun Zhang Zihao Su Saastha Vasan Ilya Grishchenko Christopher Kruegel Giovanni Vigna Yu-Xiang Wang Lei Li WIGM 27 49 0 02 Jun 2023
DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution Matías P. Pizarro D. Kolossa Asja Fischer AAML 35 1 0 26 May 2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability Haotian Xue Alexandre Araujo Bin Hu Yongxin Chen DiffM 30 41 0 25 May 2023
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score Shuhai Zhang Feng Liu Jiahao Yang Yifan Yang Changsheng Li Bo Han Mingkui Tan DiffM AAML 34 17 0 25 May 2023
Robust Classification via a Single Diffusion Model Huanran Chen Yinpeng Dong Zhengyi Wang X. Yang Chen-Dong Duan Hang Su Jun Zhu 74 56 0 24 May 2023
The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks I. Frosio Jan Kautz AAML 21 15 0 23 May 2023
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection Jiang-Long Liu Chun Pong Lau Ramalingam Chellappa DiffM 34 31 0 23 May 2023
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 37 50 0 18 May 2023
Content-based Unrestricted Adversarial Attack Zhaoyu Chen Bo-wen Li Shuang Wu Kaixun Jiang Shouhong Ding Wenqiang Zhang DiffM 29 61 0 18 May 2023
Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples Wanzhu Jiang Yunfeng Diao He-Nan Wang Jianxin Sun Hao Wu Richang Hong 37 18 0 16 May 2023
Diffusion Models for Imperceptible and Transferable Adversarial Attack Jianqi Chen H. Chen Keyan Chen Yilan Zhang Zhengxia Zou Z. Shi DiffM 29 56 0 14 May 2023
On enhancing the robustness of Vision Transformers: Defensive Diffusion Raza Imam Muhammad Huzaifa Mohammed El-Amine Azz MedIm DiffM 41 5 0 14 May 2023
DiffCollage: Parallel Generation of Large Content with Diffusion Models Qinsheng Zhang Jiaming Song Xun Huang Yongxin Chen Xuan Li DiffM 29 82 0 30 Mar 2023
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion Haomin Zhuang Yihua Zhang Sijia Liu DiffM 28 62 0 29 Mar 2023
Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder Tao Sun Lu Pang Chao Chen Haibin Ling AAML 43 9 0 27 Mar 2023
Text-to-Image Diffusion Models are Zero-Shot Classifiers Kevin Clark P. Jaini DiffM VLM 27 107 0 27 Mar 2023
Black-box Backdoor Defense via Zero-shot Image Purification Yucheng Shi Mengnan Du Xuansheng Wu Zihan Guan Jin Sun Ninghao Liu 40 28 0 21 Mar 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 41 27 0 17 Mar 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks Huanran Chen Yichi Zhang Yinpeng Dong Xiao Yang Hang Su Junyi Zhu AAML 28 56 0 16 Mar 2023
Robust Evaluation of Diffusion-Based Adversarial Purification M. Lee Dongwoo Kim 34 53 0 16 Mar 2023
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models H. M. Dolatabadi S. Erfani C. Leckie DiffM 46 17 0 15 Mar 2023
Editing Implicit Assumptions in Text-to-Image Diffusion Models Hadas Orgad Bahjat Kawar Yonatan Belinkov DiffM 28 86 0 14 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang X. Lin Sijia Liu AAML MLAU 29 1 0 13 Mar 2023
Defending against Adversarial Audio via Diffusion Model Shutong Wu Jiong Wang Ming-Yu Liu Weili Nie Chaowei Xiao DiffM 32 25 0 02 Mar 2023
Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators Keane Lucas Matthew Jagielski Florian Tramèr Lujo Bauer Nicholas Carlini AAML 30 9 0 27 Feb 2023
Score-based Diffusion Models in Function Space Jae Hyun Lim Nikola B. Kovachki Ricardo Baptista Christopher Beckham Kamyar Azizzadenesheli ... Karsten Kreis Jan Kautz Christopher Pal Arash Vahdat Anima Anandkumar DiffM 75 37 0 14 Feb 2023
I $^2$ SB: Image-to-Image Schrödinger Bridge Guan-Horng Liu Arash Vahdat De-An Huang Evangelos A. Theodorou Weili Nie Anima Anandkumar DiffM 20 132 0 12 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min-Bin Lin Weiwei Liu Shuicheng Yan DiffM 24 208 0 09 Feb 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples Chumeng Liang Xiaoyu Wu Yang Hua Jiaru Zhang Yiming Xue Tao Song Zhengui Xue Ruhui Ma Haibing Guan DiffM WIGM 16 116 0 09 Feb 2023
Divide and Compose with Score Based Generative Models S. Ghimire Armand Comas Davin Hill A. Masoomi Mario Sznaier Jennifer Dy DiffM 27 0 0 05 Feb 2023
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense Zunzhi You Daochang Liu Bohyung Han Chang Xu AAML VLM 52 4 0 02 Feb 2023
Salient Conditional Diffusion for Defending Against Backdoor Attacks Brandon B. May N. Joseph Tatro Dylan Walker Piyush Kumar N. Shnidman DiffM 24 7 0 31 Jan 2023
Denoising Diffusion Probabilistic Models as a Defense against Adversarial Attacks Lars Lien Ankile Anna Midgley Sebastian Weisshaar DiffM 16 5 0 17 Jan 2023
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper -- Michael Elad Bahjat Kawar Gregory Vaksman 23 72 0 09 Jan 2023
RobArch: Designing Robust Architectures against Adversarial Attacks Sheng-Hsuan Peng Weilin Xu Cory Cornelius Kevin Li Rahul Duggal Duen Horng Chau Jason Martin AAML 21 5 0 08 Jan 2023
Beckman Defense A. V. Subramanyam OOD AAML 37 0 0 04 Jan 2023
Adversarially Robust Video Perception by Seeing Motion Lingyu Zhang Chengzhi Mao Junfeng Yang Carl Vondrick VGen AAML 42 2 0 13 Dec 2022
DISCO: Adversarial Defense with Local Implicit Functions Chih-Hui Ho Nuno Vasconcelos AAML 21 38 0 11 Dec 2022
Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance Ashish Hooda Andrey Labunets Tadayoshi Kohno Earlence Fernandes 11 2 0 08 Dec 2022