Towards Unbounded Machine Unlearning

20 February 2023

Papers citing "Towards Unbounded Machine Unlearning"

45 / 95 papers shown

Title
Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging Zhipeng Deng Luyang Luo Hao Chen MU 32 2 0 02 Jul 2024
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI Ilia Shumailov Jamie Hayes Eleni Triantafillou Guillermo Ortiz-Jimenez Nicolas Papernot Matthew Jagielski Itay Yona Heidi Howard Eugene Bagdasaryan MU 34 20 0 27 Jun 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
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning Somnath Basu Roy Chowdhury Krzysztof Choromanski Arijit Sehanobish Avinava Dubey Snigdha Chaturvedi MU 58 7 0 24 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 43 3 0 21 Jun 2024
Towards Efficient Target-Level Machine Unlearning Based on Essential Graph Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Wei Zhao MU 35 1 0 16 Jun 2024
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models Zhuoran Jin Pengfei Cao Chenhao Wang Zhitao He Hongbang Yuan Jiachun Li Yubo Chen Kang Liu Jun Zhao KELM MU 42 12 0 16 Jun 2024
Potion: Towards Poison Unlearning Stefan Schoepf Jack Foster Alexandra Brintrup AAML MU 47 7 0 13 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 2 0 11 Jun 2024
Adversarial Machine Unlearning Zonglin Di Sixie Yu Yevgeniy Vorobeychik Yang Liu 46 2 0 11 Jun 2024
Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing Yihan Wang Yiwei Lu Guojun Zhang Franziska Boenisch Adam Dziedzic Yaoliang Yu Xiao-Shan Gao MU 21 1 0 05 Jun 2024
What makes unlearning hard and what to do about it Kairan Zhao M. Kurmanji George-Octavian Barbulescu Eleni Triantafillou Peter Triantafillou MU 60 17 0 03 Jun 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
Data Selection for Transfer Unlearning N. Sepahvand Vincent Dumoulin Eleni Triantafillou Gintare Karolina Dziugaite MU 39 4 0 16 May 2024
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models George-Octavian Barbulescu Peter Triantafillou MU 36 16 0 06 May 2024
Debiasing Machine Unlearning with Counterfactual Examples Ziheng Chen Jia Wang Jun Zhuang Abbavaram Gowtham Reddy Fabrizio Silvestri Jin Huang Kaushiki Nag Kun Kuang Xin Ning Gabriele Tolomei MU CML 35 3 0 24 Apr 2024
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images Jacopo Bonato Marco Cotogni Luigi Sabetta MU CLL 42 4 0 19 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
Continual Forgetting for Pre-trained Vision Models Hongbo Zhao Bolin Ni Haochen Wang Junsong Fan Fei Zhu Yuxi Wang Yuntao Chen Gaofeng Meng Zhaoxiang Zhang MU VLM 63 11 0 18 Mar 2024
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning Chongyu Fan Jiancheng Liu Alfred Hero Sijia Liu MU 32 28 0 12 Mar 2024
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning Nathaniel Li Alexander Pan Anjali Gopal Summer Yue Daniel Berrios ... Yan Shoshitaishvili Jimmy Ba K. Esvelt Alexandr Wang Dan Hendrycks ELM 43 143 0 05 Mar 2024
Dissecting Language Models: Machine Unlearning via Selective Pruning Nicholas Pochinkov Nandi Schoots MILM MU 18 15 0 02 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 40 26 0 02 Mar 2024
Loss-Free Machine Unlearning Jack Foster Stefan Schoepf Alexandra Brintrup MU 32 3 0 29 Feb 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip H. S. Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 40 14 0 21 Feb 2024
Rethinking Machine Unlearning for Large Language Models Sijia Liu Yuanshun Yao Jinghan Jia Stephen Casper Nathalie Baracaldo ... Hang Li Kush R. Varshney Mohit Bansal Sanmi Koyejo Yang Liu AILaw MU 72 83 0 13 Feb 2024
ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformers Ikhyun Cho Changyeon Park J. Hockenmaier 23 0 0 07 Feb 2024
Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening Stefan Schoepf Jack Foster Alexandra Brintrup MU 28 6 0 06 Feb 2024
Federated Learning Priorities Under the European Union Artificial Intelligence Act Herbert Woisetschläger Alexander Erben Bill Marino Shiqiang Wang Nicholas D. Lane R. Mayer Hans-Arno Jacobsen 25 15 0 05 Feb 2024
An Information Theoretic Approach to Machine Unlearning Jack Foster Kyle Fogarty Stefan Schoepf Cengiz Öztireli Alexandra Brintrup MU 41 4 0 02 Feb 2024
Machine Unlearning for Image-to-Image Generative Models Guihong Li Hsiang Hsu Chun-Fu Chen R. Marculescu MU VLM 70 25 0 01 Feb 2024
Dataset Condensation Driven Machine Unlearning Junaid Iqbal Khan DD 38 1 0 31 Jan 2024
CaMU: Disentangling Causal Effects in Deep Model Unlearning Shao Shen Chenhao Zhang Alina Bialkowski Weitong Chen Miao Xu CML MU 24 5 0 30 Jan 2024
Scalable Federated Unlearning via Isolated and Coded Sharding Yi-Lan Lin Zhipeng Gao Hongyang Du Dusit Niyato Gui Gui Shuguang Cui Jinke Ren FedML 51 4 0 29 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
TOFU: A Task of Fictitious Unlearning for LLMs Pratyush Maini Zhili Feng Avi Schwarzschild Zachary Chase Lipton J. Zico Kolter MU CLL 38 142 0 11 Jan 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 26 0 0 09 Jan 2024
Reinforcement Unlearning Dayong Ye Tianqing Zhu Congcong Zhu Derui Wang Zewei Shi Sheng Shen Wanlei Zhou Jason Xue MU 26 7 0 26 Dec 2023
DUCK: Distance-based Unlearning via Centroid Kinematics Marco Cotogni Jacopo Bonato Luigi Sabetta Francesco Pelosin Alessandro Nicolosi MU 38 7 0 04 Dec 2023
Deep Unlearning: Fast and Efficient Training-free Approach to Class Forgetting Sangamesh Kodge Gobinda Saha Kaushik Roy MU CLL 19 3 0 01 Dec 2023
Unlearning via Sparse Representations Vedant Shah Frederik Trauble Ashish Malik Hugo Larochelle Michael C. Mozer Sanjeev Arora Yoshua Bengio Anirudh Goyal MU 29 9 0 26 Nov 2023
Defending Our Privacy With Backdoors Dominik Hintersdorf Lukas Struppek Daniel Neider Kristian Kersting SILM AAML 18 2 0 12 Oct 2023
In-Context Unlearning: Language Models as Few Shot Unlearners Martin Pawelczyk Seth Neel Himabindu Lakkaraju MU 28 100 0 11 Oct 2023
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 132 121 0 16 Jul 2021
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 130 159 0 24 Dec 2020