Unlearnable Examples: Making Personal Data Unexploitable

13 January 2021

Papers citing "Unlearnable Examples: Making Personal Data Unexploitable"

50 / 137 papers shown

Title
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously Yihan Wang Yifan Zhu Xiao-Shan Gao AAML 23 6 0 06 Feb 2024
Data Poisoning for In-context Learning Pengfei He Han Xu Yue Xing Hui Liu Makoto Yamada Jiliang Tang AAML SILM 22 10 0 03 Feb 2024
Unlearnable Examples For Time Series Yujing Jiang Xingjun Ma S. Erfani James Bailey AI4TS 23 1 0 03 Feb 2024
Game-Theoretic Unlearnable Example Generator Shuang Liu Yihan Wang Xiao-Shan Gao AAML 29 8 0 31 Jan 2024
Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initialization Yoonhwa Jung Ikhyun Cho Shun-Hsiang Hsu J. Hockenmaier AAML MU 17 4 0 17 Jan 2024
Data-Dependent Stability Analysis of Adversarial Training Yihan Wang Shuang Liu Xiao-Shan Gao 36 3 0 06 Jan 2024
A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models Rui-ya Ma Qiang Zhou Yizhu Jin Daquan Zhou Bangjun Xiao ... Jingtong Hu Xiaodong Xie Zhen Dong Shanghang Zhang Shiji Zhou 6 2 0 04 Jan 2024
PosCUDA: Position based Convolution for Unlearnable Audio Datasets V. Gokul Shlomo Dubnov SSL 26 3 0 04 Jan 2024
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning Xiao Tian Rachael Hwee Ling Sim Jue Fan K. H. Low TDI 17 2 0 18 Dec 2023
Detection and Defense of Unlearnable Examples Yifan Zhu Lijia Yu Xiao-Shan Gao AAML 19 7 0 14 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
Trainwreck: A damaging adversarial attack on image classifiers Jan Zahálka 23 1 0 24 Nov 2023
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning Yixin Liu Chenrui Fan Yutong Dai Xun Chen Pan Zhou Lichao Sun DiffM 26 19 0 22 Nov 2023
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise Yixin Liu Kaidi Xu Xun Chen Lichao Sun 21 7 0 22 Nov 2023
BrainWash: A Poisoning Attack to Forget in Continual Learning Ali Abbasi Parsa Nooralinejad Hamed Pirsiavash Soheil Kolouri CLL KELM AAML 32 5 0 20 Nov 2023
PACOL: Poisoning Attacks Against Continual Learners Huayu Li G. Ditzler AAML 17 2 0 18 Nov 2023
Making Harmful Behaviors Unlearnable for Large Language Models Xin Zhou Yi Lu Ruotian Ma Tao Gui Qi Zhang Xuanjing Huang MU 41 9 0 02 Nov 2023
Protecting Publicly Available Data With Machine Learning Shortcuts Nicolas M. Muller Maximilian Burgert Pascal Debus Jennifer Williams Philip Sperl Konstantin Böttinger 18 0 0 30 Oct 2023
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective Yifei Wang Liangchen Li Jiansheng Yang Zhouchen Lin Yisen Wang 28 11 0 30 Oct 2023
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI Bochuan Cao Changjiang Li Ting Wang Jinyuan Jia Bo Li Jinghui Chen DiffM 28 21 0 30 Oct 2023
Segue: Side-information Guided Generative Unlearnable Examples for Facial Privacy Protection in Real World Zhiling Zhang Jie Zhang Kui Zhang Wenbo Zhou Weiming Zhang Neng H. Yu 20 1 0 24 Oct 2023
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation Yixin Liu Chenrui Fan Xun Chen Pan Zhou Lichao Sun 56 4 0 11 Oct 2023
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand Junfeng Guo Yiming Li Lixu Wang Shu-Tao Xia Heng-Chiao Huang Cong Liu Boheng Li 30 50 0 09 Oct 2023
Transferable Availability Poisoning Attacks Yiyong Liu Michael Backes Xiao Zhang AAML 19 3 0 08 Oct 2023
Exploiting Machine Unlearning for Backdoor Attacks in Deep Learning System Peixin Zhang Jun Sun Mingtian Tan Xinyu Wang AAML 32 4 0 12 Sep 2023
APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses Tianrui Qin Xitong Gao Juanjuan Zhao Kejiang Ye Chengjie Xu AAML 18 6 0 07 Aug 2023
What do neural networks learn in image classification? A frequency shortcut perspective Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio 16 21 0 19 Jul 2023
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? Fnu Suya X. Zhang Yuan Tian David E. Evans OOD AAML 26 2 0 03 Jul 2023
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data Xinzhe Li Ming Liu Shang Gao MU 25 8 0 02 Jul 2023
Exploring Model Dynamics for Accumulative Poisoning Discovery Jianing Zhu Xiawei Guo Jiangchao Yao Chao Du Li He Shuo Yuan Tongliang Liu Liang Wang Bo Han AAML 16 0 0 06 Jun 2023
Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation Zhengyue Zhao Jinhao Duan Xingui Hu Kaidi Xu Chenan Wang Rui Zhang Zidong Du Qi Guo Yunji Chen DiffM WIGM 28 27 0 02 Jun 2023
What Can We Learn from Unlearnable Datasets? Pedro Sandoval-Segura Vasu Singla Jonas Geiping Micah Goldblum Tom Goldstein 19 14 0 30 May 2023
Sharpness-Aware Data Poisoning Attack Pengfei He Han Xu J. Ren Yingqian Cui Hui Liu Charu C. Aggarwal Jiliang Tang AAML 41 7 0 24 May 2023
Towards Generalizable Data Protection With Transferable Unlearnable Examples Bin Fang Bo-wen Li Shuang Wu Tianyi Zheng Shouhong Ding Ran Yi Lizhuang Ma 13 4 0 18 May 2023
Re-thinking Data Availablity Attacks Against Deep Neural Networks Bin Fang Bo-wen Li Shuang Wu Ran Yi Shouhong Ding Lizhuang Ma AAML 35 0 0 18 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
Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks Jingfeng Zhang Bo Song Bo Han Lei Liu Gang Niu Masashi Sugiyama AAML 19 2 0 30 Apr 2023
LAVA: Data Valuation without Pre-Specified Learning Algorithms H. Just Feiyang Kang Jiachen T. Wang Yi Zeng Myeongseob Ko Ming Jin R. Jia 27 54 0 28 Apr 2023
Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks Tianrui Qin Xitong Gao Juanjuan Zhao Kejiang Ye Chengzhong Xu AAML MU 37 27 0 27 Mar 2023
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models H. M. Dolatabadi S. Erfani C. Leckie DiffM 46 17 0 15 Mar 2023
Backdoor Defense via Deconfounded Representation Learning Zaixin Zhang Qi Liu Zhicai Wang Zepu Lu Qingyong Hu AAML 57 39 0 13 Mar 2023
CUDA: Convolution-based Unlearnable Datasets Vinu Sankar Sadasivan Mahdi Soltanolkotabi S. Feizi MU 29 23 0 07 Mar 2023
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 39 18 0 07 Mar 2023
Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation Yixin Liu Chenrui Fan Pan Zhou Lichao Sun 6 4 0 05 Mar 2023
Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation Yixin Liu Haohui Ye Kai Zhang Lichao Sun MedIm 17 3 0 05 Mar 2023
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare Juexiao Zhou Haoyang Li Xingyu Liao Bin Zhang Wenjia He Zhongxiao Li Longxi Zhou Xin Gao MU 25 13 0 20 Feb 2023
Raising the Cost of Malicious AI-Powered Image Editing Hadi Salman Alaa Khaddaj Guillaume Leclerc Andrew Ilyas A. Madry DiffM 20 108 0 13 Feb 2023
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression Zhuoran Liu Zhengyu Zhao Martha Larson 29 34 0 31 Jan 2023
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples Jiaming Zhang Xingjun Ma Qiaomin Yi Jitao Sang Yugang Jiang Yaowei Wang Changsheng Xu 18 24 0 31 Dec 2022
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder Qi Tian Kun Kuang Ke Jiang Furui Liu Zhihua Wang Fei Wu 14 7 0 04 Dec 2022