Adversarial purification with Score-based generative models

11 June 2021

Papers citing "Adversarial purification with Score-based generative models"

50 / 100 papers shown

Title
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification Mintong Kang D. Song Bo-wen Li 38 23 0 27 Oct 2023
Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE Marius Arvinte Cory Cornelius Jason Martin N. Himayat DiffM 52 3 0 10 Oct 2023
Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh Lukas Gosch Yan Scholten Marten Lienen Leo Schwinn Stephan Günnemann DiffM 40 5 0 06 Oct 2023
Language Guided Adversarial Purification Himanshu Singh A. V. Subramanyam AAML 49 2 0 19 Sep 2023
DAD++: Improved Data-free Test Time Adversarial Defense Gaurav Kumar Nayak Inder Khatri Shubham Randive Ruchit Rawal Anirban Chakraborty AAML 23 1 0 10 Sep 2023
DiffDefense: Defending against Adversarial Attacks via Diffusion Models Hondamunige Prasanna Silva Lorenzo Seidenari A. Bimbo DiffM 43 6 0 07 Sep 2023
Advancing Adversarial Robustness Through Adversarial Logit Update Hao Xuan Peican Zhu Xingyu Li AAML 29 0 0 29 Aug 2023
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models Haksoo Lim Sewon Park Minjung Kim Jaehoon Lee S. Lim Noseong Park 37 3 0 29 Aug 2023
Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang Weijian Luo Zhihua Zhang DiffM 32 12 0 10 Jul 2023
Revisiting and Advancing Adversarial Training Through A Simple Baseline Hong Liu AAML 26 0 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
Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics Zonghan Yang Peng Li Tianyu Pang Yang Liu AAML 35 3 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 38 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 36 17 0 25 May 2023
The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks I. Frosio Jan Kautz AAML 29 15 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 40 50 0 18 May 2023
The Stable Signature: Rooting Watermarks in Latent Diffusion Models Pierre Fernandez Guillaume Couairon Hervé Jégou Matthijs Douze Teddy Furon WIGM 20 177 0 27 Mar 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang Ran He Tien-Ping Tan OOD VLM TTA 38 205 0 27 Mar 2023
Robust Evaluation of Diffusion-Based Adversarial Purification M. Lee Dongwoo Kim 34 54 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 54 17 0 15 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
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets Weixin Chen D. Song Bo-wen Li DiffM 31 74 0 10 Mar 2023
Defending against Adversarial Audio via Diffusion Model Shutong Wu Jiong Wang Ming-Yu Liu Weili Nie Chaowei Xiao DiffM 37 25 0 02 Mar 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
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
Beckman Defense A. V. Subramanyam OOD AAML 40 0 0 04 Jan 2023
DISCO: Adversarial Defense with Local Implicit Functions Chih-Hui Ho Nuno Vasconcelos AAML 26 38 0 11 Dec 2022
Unsupervised Visual Defect Detection with Score-Based Generative Model Yapeng Teng Haoyang Li Fuzhen Cai Mingli Shao Siyu Xia MedIm DiffM 27 12 0 29 Nov 2022
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training Junhao Dong Seyed-Mohsen Moosavi-Dezfooli Jianhuang Lai Xiaohua Xie AAML 50 28 0 01 Nov 2022
Scoring Black-Box Models for Adversarial Robustness Jian Vora Pranay Reddy Samala 33 0 0 31 Oct 2022
Adversarial Purification with the Manifold Hypothesis Zhaoyuan Yang Zhiwei Xu Jing Zhang Richard I. Hartley Peter Tu AAML 24 5 0 26 Oct 2022
Visual Prompting for Adversarial Robustness Aochuan Chen P. Lorenz Yuguang Yao Pin-Yu Chen Sijia Liu VLM VPVLM 38 32 0 12 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 49 104 0 11 Oct 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,311 0 02 Sep 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models Tsachi Blau Roy Ganz Bahjat Kawar Alex M. Bronstein Michael Elad AAML DiffM 27 26 0 17 Jul 2022
Guided Diffusion Model for Adversarial Purification from Random Noise Quanlin Wu Hang Ye Yuntian Gu DiffM 22 42 0 22 Jun 2022
Guided Diffusion Model for Adversarial Purification Jinyi Wang Zhaoyang Lyu Dahua Lin Bo Dai Hongfei Fu DiffM 196 82 0 30 May 2022
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling Mitch Hill Jonathan Mitchell Chu Chen Yuan Du M. Shah Song-Chun Zhu 14 0 0 24 May 2022
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification Leo Schwinn Leon Bungert A. Nguyen René Raab Falk Pulsmeyer Doina Precup Björn Eskofier Dario Zanca OOD 56 13 0 19 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 218 419 0 16 May 2022
Text Adversarial Purification as Defense against Adversarial Attacks Linyang Li Demin Song Xipeng Qiu AAML 23 15 0 27 Mar 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses Francesco Croce Sven Gowal T. Brunner Evan Shelhamer Matthias Hein A. Cemgil TTA AAML 181 67 0 28 Feb 2022
Enhanced countering adversarial attacks via input denoising and feature restoring Yanni Li Wenhui Zhang Jiawei Liu Xiaoli Kou Hui Li Jiangtao Cui AAML 30 2 0 19 Nov 2021
Adversarial Purification through Representation Disentanglement Tao Bai Jun Zhao Lanqing Guo B. Wen AAML 19 1 0 15 Oct 2021
Score-Based Generative Classifiers Roland S. Zimmermann Lukas Schott Yang Song Benjamin A. Dunn David A. Klindt DiffM 22 64 0 01 Oct 2021
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations Sungmin Cha Naeun Ko Young Joon Yoo Taesup Moon AAML 20 2 0 22 Jun 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 234 678 0 19 Oct 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 293 3,112 0 04 Nov 2016