Unlearnable Examples Give a False Sense of Security: Piercing through
Unexploitable Data with Learnable Examples

Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples

16 May 2023

Yunfeng Diao

Papers citing "Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples"

8 / 8 papers shown

Title
Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models Kuofeng Gao Yufei Zhu Yiming Li Jiawang Bai Yong-Liang Yang Z. Li Shu-Tao Xia 19 0 0 05 May 2025
CBW: Towards Dataset Ownership Verification for Speaker Verification via Clustering-based Backdoor Watermarking Yiming Li Kaiying Yan Shuo Shao Tongqing Zhai Shu-Tao Xia Z. Qin D. Tao AAML 38 0 0 02 Mar 2025
Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks Tianrui Qin Xitong Gao Juanjuan Zhao Kejiang Ye Chengzhong Xu AAML MU 24 20 0 27 Mar 2023
Guided Diffusion Model for Adversarial Purification Jinyi Wang Zhaoyang Lyu Dahua Lin Bo Dai Hongfei Fu DiffM 172 56 0 30 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 181 289 0 16 May 2022
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 131 155 0 13 Jan 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 227 3,029 0 09 Mar 2020
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 279 9,997 0 01 Sep 2014