The Devil's Advocate: Shattering the Illusion of Unexploitable Data
using Diffusion Models

The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models

15 March 2023

H. M. Dolatabadi

Papers citing "The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models"

19 / 19 papers shown

Title
A Survey on Unlearnable Data Jiahao Li Yiqiang Chen Yunbing Xing Yang Gu Xiangyuan Lan AAML 58 0 0 30 Mar 2025
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Yihan Wang Yiwei Lu Xiao-Shan Gao Gautam Kamath Yaoliang Yu 39 0 0 30 Dec 2024
Unlearnable Examples Detection via Iterative Filtering Yi Yu Qichen Zheng Siyuan Yang Wenhan Yang Jun Liu Shijian Lu Yap-Peng Tan Kwok-Yan Lam Alex Kot AAML 38 1 0 15 Aug 2024
Toward Availability Attacks in 3D Point Clouds Yifan Zhu Yibo Miao Yinpeng Dong Xiao-Shan Gao 3DPC AAML 48 3 0 26 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
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
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics Sunay Bhat Jeffrey Q. Jiang Omead Brandon Pooladzandi Alexander Branch Gregory Pottie AAML 44 2 0 28 May 2024
Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning H. M. Dolatabadi S. Erfani Christopher Leckie AAML 32 0 0 17 Feb 2024
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously Yihan Wang Yifan Zhu Xiao-Shan Gao AAML 25 6 0 06 Feb 2024
DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models Jiachen Zhou Peizhuo Lv Yibing Lan Guozhu Meng Kai Chen Hualong Ma AAML 29 7 0 18 Dec 2023
Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations Xianlong Wang Shengshan Hu Minghui Li Zhifei Yu Ziqi Zhou Leo Yu Zhang AAML 26 0 0 30 Nov 2023
APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses Tianrui Qin Xitong Gao Juanjuan Zhao Kejiang Ye Chengjie Xu AAML 21 6 0 07 Aug 2023
What Can We Learn from Unlearnable Datasets? Pedro Sandoval-Segura Vasu Singla Jonas Geiping Micah Goldblum Tom Goldstein 21 14 0 30 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 in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 194 1,143 0 10 Sep 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 212 418 0 16 May 2022
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 156 190 0 13 Jan 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 270 36,371 0 25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014