Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks

21 December 2022

Papers citing "Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks"

31 / 31 papers shown

Title
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure Jonas Henry Grebe Tobias Braun Marcus Rohrbach Anna Rohrbach AAML 85 0 0 29 Apr 2025
Propaganda via AI? A Study on Semantic Backdoors in Large Language Models Nay Myat Min Long H. Pham Yige Li Jun Sun AAML 28 0 0 15 Apr 2025
ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning Manaar Alam Hithem Lamri Michail Maniatakos AAML 57 1 0 17 Feb 2025
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification Changchang Sun Ren Wang Yihua Zhang Jinghan Jia Jiancheng Liu Gaowen Liu Sijia Liu Yan Yan AAML MU 93 0 0 21 Dec 2024
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models Vinith M. Suriyakumar Rohan Alur Ayush Sekhari Manish Raghavan Ashia C. Wilson 55 2 0 10 Oct 2024
Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning Binhao Ma Tianhang Zheng Hongsheng Hu Di Wang Shuo Wang Zhongjie Ba Zhan Qin Kui Ren AAML 33 3 0 06 Jul 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 57 8 0 25 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 43 3 0 21 Jun 2024
Label Smoothing Improves Machine Unlearning Zonglin Di Zhaowei Zhu Jinghan Jia Jiancheng Liu Zafar Takhirov Bo Jiang Yuanshun Yao Sijia Liu Yang Liu 32 1 0 11 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 32 6 0 10 Jun 2024
Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation Ziyao Liu Yu Jiang Weifeng Jiang Jiale Guo Jun Zhao Kwok-Yan Lam MU FedML 47 6 0 03 Jun 2024
Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten Wei Qian Aobo Chen Chenxu Zhao Yangyi Li Mengdi Huai MU 34 0 0 27 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
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning Hongsheng Hu Shuo Wang Tian Dong Minhui Xue AAML 35 18 0 04 Apr 2024
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models Shao Shen Chenhao Zhang Yawen Zhao Alina Bialkowski Tony Weitong Chen Miao Xu MU 38 12 0 31 Mar 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 35 28 0 20 Mar 2024
Dataset Condensation Driven Machine Unlearning Junaid Iqbal Khan DD 38 1 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
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 40 7 0 18 Nov 2023
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach Yuke Hu Jian Lou Jiaqi Liu Wangze Ni Feng Lin Zhan Qin Kui Ren MU 35 12 0 03 Nov 2023
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions Ziyao Liu Yu Jiang Jiyuan Shen Minyi Peng Kwok-Yan Lam Xingliang Yuan Xiaoning Liu MU 31 44 0 31 Oct 2023
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm S. M. Fazle J. Mondal Meem Arafat Manab Xi Xiao Sarfaraz Newaz AAML 27 0 0 18 Oct 2023
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services Hongsheng Hu Shuo Wang Jiamin Chang Haonan Zhong Ruoxi Sun Shuang Hao Haojin Zhu Minhui Xue MU 21 26 0 15 Sep 2023
Ticketed Learning-Unlearning Schemes Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Ayush Sekhari Chiyuan Zhang MU 38 7 0 27 Jun 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 36 25 0 10 May 2023
Model Sparsity Can Simplify Machine Unlearning Jinghan Jia Jiancheng Liu Parikshit Ram Yuguang Yao Gaowen Liu Yang Liu Pranay Sharma Sijia Liu MU 24 106 0 11 Apr 2023
Choosing Public Datasets for Private Machine Learning via Gradient Subspace Distance Xin Gu Gautam Kamath Zhiwei Steven Wu 25 12 0 02 Mar 2023
Uncovering Adversarial Risks of Test-Time Adaptation Tong Wu Feiran Jia Xiangyu Qi Jiachen T. Wang Vikash Sehwag Saeed Mahloujifar Prateek Mittal AAML TTA 29 9 0 29 Jan 2023
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 130 159 0 24 Dec 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 296 39,198 0 01 Sep 2014