Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning

22 February 2022

Papers citing "Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning"

29 / 29 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
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Yihan Wang Yiwei Lu Xiao-Shan Gao Gautam Kamath Yaoliang Yu 34 0 0 30 Dec 2024
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders Sizai Hou Songze Li Duanyi Yao AAML 72 0 0 25 Nov 2024
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization Yuhao He Jinyu Tian Xianwei Zheng Li Dong Yuanman Li L. Zhang AAML 23 0 0 06 Nov 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 32 3 0 13 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 36 0 0 13 Sep 2024
Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning Xinwei Liu Xiaojun Jia Yuan Xun Siyuan Liang Xiaochun Cao 34 7 0 23 Jul 2024
Toward Availability Attacks in 3D Point Clouds Yifan Zhu Yibo Miao Yinpeng Dong Xiao-Shan Gao 3DPC AAML 40 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 41 5 0 25 Jun 2024
Nonlinear Transformations Against Unlearnable Datasets T. Hapuarachchi Jing Lin Kaiqi Xiong Mohamed Rahouti Gitte Ost 28 1 0 05 Jun 2024
Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural Architecture Search Zachary Coalson Huazheng Wang Qingyun Wu Sanghyun Hong OOD AAML 34 0 0 09 May 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models Yanting Wang Wei Zou Jinyuan Jia 45 1 0 12 Apr 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 32 3 0 15 Mar 2024
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors Yiwei Lu Matthew Y.R. Yang Gautam Kamath Yaoliang Yu AAML SILM 37 8 0 20 Feb 2024
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously Yihan Wang Yifan Zhu Xiao-Shan Gao AAML 17 6 0 06 Feb 2024
Machine Unlearning in Large Language Models Kongyang Chen Zixin Wang Bing Mi Waixi Liu Shaowei Wang Xiaojun Ren Jiaxing Shen MU 24 11 0 03 Feb 2024
Detection and Defense of Unlearnable Examples Yifan Zhu Lijia Yu Xiao-Shan Gao AAML 19 7 0 14 Dec 2023
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise Yixin Liu Kaidi Xu Xun Chen Lichao Sun 19 7 0 22 Nov 2023
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation Yixin Liu Chenrui Fan Xun Chen Pan Zhou Lichao Sun 48 4 0 11 Oct 2023
Transferable Availability Poisoning Attacks Yiyong Liu Michael Backes Xiao Zhang AAML 19 3 0 08 Oct 2023
APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses Tianrui Qin Xitong Gao Juanjuan Zhao Kejiang Ye Chengjie Xu AAML 16 6 0 07 Aug 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 M. Wang Richang Hong 37 18 0 16 May 2023
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression Zhuoran Liu Zhengyu Zhao Martha Larson 24 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 15 24 0 31 Dec 2022
Transferable Unlearnable Examples J. Ren Han Xu Yuxuan Wan Xingjun Ma Lichao Sun Jiliang Tang 28 36 0 18 Oct 2022
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 136 190 0 13 Jan 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,812 0 14 Dec 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020