Unlearnable Examples: Making Personal Data Unexploitable

13 January 2021

Papers citing "Unlearnable Examples: Making Personal Data Unexploitable"

50 / 137 papers shown

Title
MTL-UE: Learning to Learn Nothing for Multi-Task Learning Yi Yu Song Xia Siyuan Yang Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex Chichung Kot 46 0 0 08 May 2025
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 41 0 0 05 May 2025
A Survey on Unlearnable Data Jiahao Li Yiqiang Chen Yunbing Xing Yang Gu Xiangyuan Lan AAML 58 0 0 30 Mar 2025
Dynamic Gradient Sparse Update for Edge Training I-Hsuan Li Tian-Sheuan Chang 66 1 0 23 Mar 2025
FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning Mingcong Xu Xiaojin Zhang Wei Chen Hai Jin FedML 46 0 0 08 Mar 2025
Adversarial Training for Multimodal Large Language Models against Jailbreak Attacks Liming Lu Shuchao Pang Siyuan Liang Haotian Zhu Xiyu Zeng Aishan Liu Yunhuai Liu Yongbin Zhou AAML 51 1 0 05 Mar 2025
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization Shunxin Wang Raymond N. J. Veldhuis N. Strisciuglio VLM 71 0 0 05 Mar 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 Zhanyue Qin D. Tao AAML 146 0 0 02 Mar 2025
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Yihan Wang Yiwei Lu Xiao-Shan Gao Gautam Kamath Yaoliang Yu 36 0 0 30 Dec 2024
User Identity Protection in EEG-based Brain-Computer Interfaces L. Meng X. Jiang Jingfang Huang Wei Li H. Luo D. Wu 88 9 0 13 Dec 2024
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization Yuhao He Jinyu Tian Xianwei Zheng Li Dong Yuanman Li L. Zhang AAML 25 0 0 06 Nov 2024
User-wise Perturbations for User Identity Protection in EEG-Based BCIs Xiaoqing Chen Siyang Li Yunlu Tu Ziwei Wang Dongrui Wu 27 2 0 04 Nov 2024
Learning from Convolution-based Unlearnable Datasets Dohyun Kim Pedro Sandoval-Segura MU 91 1 0 04 Nov 2024
Mitigating Unauthorized Speech Synthesis for Voice Protection Zhisheng Zhang Qianyi Yang Derui Wang Pengyang Huang Yuxin Cao Kai Ye Jie Hao AAML 21 3 0 28 Oct 2024
Backdoor Attack on Vertical Federated Graph Neural Network Learning Jirui Yang Peng Chen Zhihui Lu Ruijun Deng Qiang Duan Jianping Zeng AAML FedML 138 0 0 15 Oct 2024
A few-shot Label Unlearning in Vertical Federated Learning Hanlin Gu Hong Xi Tae Chee Seng Chan Lixin Fan MU FedML 33 1 0 14 Oct 2024
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation Ye Sun Hao Zhang Tiehua Zhang Xingjun Ma Yu-Gang Jiang VLM 37 3 0 13 Oct 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su Yushu Li Nanqing Liu Kui Jia Xulei Yang Chuan-Sheng Foo Xun Xu TTA AAML 56 0 0 07 Oct 2024
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need Xianlong Wang Minghui Li Wei Liu Hangtao Zhang Shengshan Hu Yechao Zhang Ziqi Zhou Hai Jin 3DPC MU 42 6 0 04 Oct 2024
Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective Yixin Liu Arielle Carr Lichao Sun AAML 23 0 0 01 Oct 2024
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense Jeremy A. Styborski Mingzhi Lyu Y. Huang Adams Kong 39 0 0 13 Sep 2024
RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model Zhuan Shi Jing Yan Xiaoli Tang Lingjuan Lyu Boi Faltings 34 1 0 29 Aug 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
Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning Xinwei Liu Xiaojun Jia Yuan Xun Siyuan Liang Xiaochun Cao 39 7 0 23 Jul 2024
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning Xiaojin Zhang Mingcong Xu Wei Chen FedML 27 0 0 05 Jul 2024
Toward Availability Attacks in 3D Point Clouds Yifan Zhu Yibo Miao Yinpeng Dong Xiao-Shan Gao 3DPC AAML 45 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
Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI Robert Honig Javier Rando Nicholas Carlini Florian Tramèr WIGM AAML 47 16 0 17 Jun 2024
PID: Prompt-Independent Data Protection Against Latent Diffusion Models Ang Li Yichuan Mo Mingjie Li Yisen Wang AAML 43 2 0 14 Jun 2024
Certified Robustness to Data Poisoning in Gradient-Based Training Philip Sosnin Mark N. Müller Maximilian Baader Calvin Tsay Matthew Wicker AAML SILM 65 8 0 09 Jun 2024
Efficient Differentially Private Fine-Tuning of Diffusion Models Jing Liu Andrew Lowy T. Koike-Akino K. Parsons Ye Wang 25 0 0 07 Jun 2024
Nonlinear Transformations Against Unlearnable Datasets T. Hapuarachchi Jing Lin Kaiqi Xiong Mohamed Rahouti Gitte Ost 28 1 0 05 Jun 2024
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack Lijia Yu Shuang Liu Yibo Miao Xiao-Shan Gao Lijun Zhang AAML 34 5 0 02 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
HiddenSpeaker: Generate Imperceptible Unlearnable Audios for Speaker Verification System Zhisheng Zhang Pengyang Huang AAML 29 3 0 24 May 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity Hanlin Gu W. Ong Chee Seng Chan Lixin Fan MU 36 7 0 23 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 34 14 0 13 May 2024
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers Binxiao Huang Jason Chun Lok Li Chang Liu Ngai Wong AAML 38 0 0 09 May 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 51 4 0 07 May 2024
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders Yi Yu Yufei Wang Song Xia Wenhan Yang Shijian Lu Yap-Peng Tan A.C. Kot AAML 37 11 0 02 May 2024
Debiasing Machine Unlearning with Counterfactual Examples Ziheng Chen Jia Wang Jun Zhuang Abbavaram Gowtham Reddy Fabrizio Silvestri Jin Huang Kaushiki Nag Kun Kuang Xin Ning Gabriele Tolomei MU CML 35 3 0 24 Apr 2024
Ungeneralizable Examples Jing Ye Xinchao Wang 38 4 0 22 Apr 2024
Disguised Copyright Infringement of Latent Diffusion Models Yiwei Lu Matthew Y.R. Yang Zuoqiu Liu Gautam Kamath Yaoliang Yu WIGM 36 7 0 10 Apr 2024
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion Hossein Souri Arpit Bansal Hamid Kazemi Liam H. Fowl Aniruddha Saha Jonas Geiping Andrew Gordon Wilson Rama Chellappa Tom Goldstein Micah Goldblum SILM DiffM 21 1 0 25 Mar 2024
Medical Unlearnable Examples: Securing Medical Data from Unauthorized Training via Sparsity-Aware Local Masking Weixiang Sun Yixin Liu Zhiling Yan Kaidi Xu Lichao Sun AAML 37 3 0 15 Mar 2024
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning Vinay Chakravarthi Gogineni E. Nadimi MU 31 1 0 12 Mar 2024
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors Yiwei Lu Matthew Y.R. Yang Gautam Kamath Yaoliang Yu AAML SILM 47 8 0 20 Feb 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
Fight Back Against Jailbreaking via Prompt Adversarial Tuning Yichuan Mo Yuji Wang Zeming Wei Yisen Wang AAML SILM 49 25 0 09 Feb 2024