ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse
Diffusion Purification

ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification

21 June 2024

Xianlong Wang

Yechao Zhang

Leo Yu Zhang

Peng Xu

Hai Jin

Papers citing "ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification"

6 / 6 papers shown

Title
Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples Wanzhu Jiang Yunfeng Diao He-Nan Wang Jianxin Sun M. Wang Richang Hong 32 17 0 16 May 2023
Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks Tianrui Qin Xitong Gao Juanjuan Zhao Kejiang Ye Chengzhong Xu AAML MU 32 25 0 27 Mar 2023
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 184 410 0 16 May 2022
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia Longling Zhang Bochen Shen A. Barnawi Shan Xi Neeraj Kumar Yi Wu FedML MedIm 54 80 0 26 Apr 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 136 189 0 13 Jan 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016