Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning
Attacks

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Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks

International Conference on Machine Learning (ICML), 2023

7 March 2023

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Papers citing "Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks"

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Title
Not All Samples Are Equal: Quantifying Instance-level Difficulty in Targeted Data Poisoning William Xu Yiwei Lu Yihan Wang Matthew Y.R. Yang Zuoqiu Liu Gautam Kamath Yaoliang Yu 132 0 0 08 Sep 2025
Stress-Testing ML Pipelines with Adversarial Data CorruptionProceedings of the VLDB Endowment (PVLDB), 2025 Jiongli Zhu Geyang Xu Felipe Lorenzi Boris Glavic Babak Salimi 191 0 0 02 Jun 2025
Engineering Trustworthy AI: A Developer Guide for Empirical Risk MinimizationIEEE Transactions on Artificial Intelligence (IEEE TAI), 2024 Diana Pfau Alexander Jung 245 1 0 25 Oct 2024
UTrace: Poisoning Forensics for Private Collaborative Learning Evan Rose Hidde Lycklama Harsh Chaudhari Niklas Britz Anwar Hithnawi Alina Oprea 441 2 0 23 Sep 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 502 25 0 25 Jun 2024
Purify Unlearnable Examples via Rate-Constrained Variational AutoencodersInternational Conference on Machine Learning (ICML), 2024 Yi Yu Yufei Wang Song Xia Wenhan Yang Shijian Lu Yap-Peng Tan A.C. Kot AAML 248 17 0 02 May 2024
Disguised Copyright Infringement of Latent Diffusion ModelsInternational Conference on Machine Learning (ICML), 2024 Yiwei Lu Matthew Y.R. Yang Zuoqiu Liu Gautam Kamath Yaoliang Yu WIGM 403 9 0 10 Apr 2024
Transferable Availability Poisoning Attacks Yiyong Liu Michael Backes Xiao Zhang AAML 197 6 0 08 Oct 2023