Towards Adversarial Evaluations for Inexact Machine Unlearning

17 January 2022

Ser-Nam Lim

Ponnurangam Kumaraguru

AAML

ELM

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Papers citing "Towards Adversarial Evaluations for Inexact Machine Unlearning"

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Title
DP2Unlearning: An Efficient and Guaranteed Unlearning Framework for LLMs Tamim Al Mahmud N. Jebreel Josep Domingo-Ferrer David Sánchez MU 25 0 0 18 Apr 2025
FROG: Fair Removal on Graphs Z. Chen Jiali Cheng Gabriele Tolomei Sijia Liu Hadi Amiri Yu Wang Kaushiki Nag Lu Lin MU 43 1 0 23 Mar 2025
How Does Overparameterization Affect Machine Unlearning of Deep Neural Networks? Gal Alon Yehuda Dar MU AI4CE 53 0 0 11 Mar 2025
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning Gaurav Patel Qiang Qiu MU 60 1 0 08 Mar 2025
MUNBa: Machine Unlearning via Nash Bargaining Jing Wu Mehrtash Harandi MU 71 3 0 23 Nov 2024
Delta-Influence: Unlearning Poisons via Influence Functions Wenjie Li Jiawei Li Christian Schroeder de Witt Ameya Prabhu Amartya Sanyal TDI MU 84 0 0 20 Nov 2024
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning Zihao Zhao Yijiang Li Y. Yang Wenqing Zhang Nuno Vasconcelos Yinzhi Cao MU 21 1 0 04 Nov 2024
Attribute-to-Delete: Machine Unlearning via Datamodel Matching Kristian Georgiev Roy Rinberg Sung Min Park Shivam Garg Andrew Ilyas Aleksander Madry Seth Neel MU 38 3 0 30 Oct 2024
A few-shot Label Unlearning in Vertical Federated Learning Hanlin Gu Hong Xi Tae Chee Seng Chan Lixin Fan MU FedML 22 1 0 14 Oct 2024
Erasing Conceptual Knowledge from Language Models Rohit Gandikota Sheridan Feucht Samuel Marks David Bau KELM ELM MU 40 5 0 03 Oct 2024
Deep Unlearn: Benchmarking Machine Unlearning Xavier F. Cadet Anastasia Borovykh Mohammad Malekzadeh S. Ahmadi-Abhari Hamed Haddadi BDL MU 21 1 0 02 Oct 2024
An Adversarial Perspective on Machine Unlearning for AI Safety Jakub Łucki Boyi Wei Yangsibo Huang Peter Henderson F. Tramèr Javier Rando MU AAML 61 31 0 26 Sep 2024
Protecting against simultaneous data poisoning attacks Neel Alex Shoaib Ahmed Siddiqui Amartya Sanyal David M. Krueger AAML 32 1 0 23 Aug 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 50 7 0 25 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 33 3 0 21 Jun 2024
Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition Eleni Triantafillou Peter Kairouz Fabian Pedregosa Jamie Hayes M. Kurmanji ... Lisheng Sun-Hosoya Sergio Escalera Gintare Karolina Dziugaite Peter Triantafillou Isabelle M Guyon MU 36 2 0 13 Jun 2024
Towards Natural Machine Unlearning Zhengbao He Tao Li Xinwen Cheng Zhehao Huang Xiaolin Huang MU 22 1 0 24 May 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity Hanlin Gu W. Ong Chee Seng Chan Lixin Fan MU 21 7 0 23 May 2024
Data Selection for Transfer Unlearning N. Sepahvand Vincent Dumoulin Eleni Triantafillou Gintare Karolina Dziugaite MU 29 4 0 16 May 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 29 28 0 20 Mar 2024
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning Chongyu Fan Jiancheng Liu Alfred Hero Sijia Liu MU 20 10 0 12 Mar 2024
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy Jamie Hayes Ilia Shumailov Eleni Triantafillou Amr Khalifa Nicolas Papernot MU 27 25 0 02 Mar 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip H. S. Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 25 13 0 21 Feb 2024
ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformers Ikhyun Cho Changyeon Park J. Hockenmaier 18 0 0 07 Feb 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 10 4 0 17 Jan 2024
TOFU: A Task of Fictitious Unlearning for LLMs Pratyush Maini Zhili Feng Avi Schwarzschild Zachary Chase Lipton J. Zico Kolter MU CLL 38 141 0 11 Jan 2024
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks Jing Wu Mehrtash Harandi 23 12 0 11 Jan 2024
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 36 7 0 18 Nov 2023
In-Context Unlearning: Language Models as Few Shot Unlearners Martin Pawelczyk Seth Neel Himabindu Lakkaraju MU 21 98 0 11 Oct 2023
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks Piyush Tiwary Atri Guha Subhodip Panda Prathosh A.P. MU GAN 39 7 0 25 Sep 2023
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? Hasan Hammoud Ameya Prabhu Ser-Nam Lim Philip H. S. Torr Adel Bibi Bernard Ghanem CLL 97 16 0 16 May 2023
Computationally Budgeted Continual Learning: What Does Matter? Ameya Prabhu Hasan Hammoud P. Dokania Philip H. S. Torr Ser-Nam Lim Bernard Ghanem Adel Bibi CLL 15 60 0 20 Mar 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks Jiali Cheng George Dasoulas Huan He Chirag Agarwal Marinka Zitnik MU 19 34 0 26 Feb 2023
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 113 119 0 16 Jul 2021
Pre-training without Natural Images Hirokatsu Kataoka Kazushige Okayasu Asato Matsumoto Eisuke Yamagata Ryosuke Yamada Nakamasa Inoue Akio Nakamura Y. Satoh 79 115 0 21 Jan 2021
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 125 158 0 24 Dec 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 177 357 0 24 Mar 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 99 109 0 07 Feb 2020