Remember What You Want to Forget: Algorithms for Machine Unlearning

4 March 2021

Papers citing "Remember What You Want to Forget: Algorithms for Machine Unlearning"

50 / 68 papers shown

Title
Online Learning and Unlearning Yaxi Hu Bernhard Schölkopf Amartya Sanyal MU OnRL 45 0 0 13 May 2025
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models Xiaoyu Xu Minxin Du Qingqing Ye Haibo Hu MU 57 0 0 07 May 2025
Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization Gen Li Yang Xiao Jie Ji Kaiyuan Deng Bo Hui Linke Guo Xiaolong Ma 26 0 0 12 Apr 2025
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning Tianyang Xu Xiaoze Liu Feijie Wu Xiaoqian Wang Jing Gao MU 61 0 0 29 Mar 2025
UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets Wenyu Wang Hao Fei Xiaotian Ye Z. Z. Ren Ziyang Chen Pengjie Ren MU KELM 192 0 0 06 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 48 0 0 02 Mar 2025
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU 78 1 0 27 Feb 2025
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning Weiqi Wang Chenhan Zhang Zhiyi Tian Shushu Liu Shui Yu MU 47 0 0 27 Feb 2025
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images Sheng-Yu Wang Aaron Hertzmann Alexei A. Efros Jun-Yan Zhu Richard Zhang TDI 128 2 0 21 Feb 2025
$Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization$ Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$ -Constrained Optimization Xiaohua Feng Chao-Jun Chen Yuyuan Li L. Zhang Longfei Li Jun Zhou Xiaolin Zheng MU 73 0 0 20 Feb 2025
Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense Yang Ouyang Hengrui Gu Shuhang Lin Wenyue Hua Jie Peng B. Kailkhura Tianlong Chen Kaixiong Zhou Kaixiong Zhou AAML 31 1 0 05 Jan 2025
Unified Parameter-Efficient Unlearning for LLMs Chenlu Ding Jiancan Wu Yancheng Yuan Jinda Lu Kai Zhang Alex Su Xiang Wang Xiangnan He MU KELM 100 6 0 30 Nov 2024
MUNBa: Machine Unlearning via Nash Bargaining Jing Wu Mehrtash Harandi MU 71 3 0 23 Nov 2024
CLEAR: Character Unlearning in Textual and Visual Modalities Alexey Dontsov Dmitrii Korzh Alexey Zhavoronkin Boris Mikheev Denis Bobkov Aibek Alanov Oleg Y. Rogov Ivan Oseledets Elena Tutubalina AILaw VLM MU 66 5 0 23 Oct 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models Jinghan Jia Jiancheng Liu Yihua Zhang Parikshit Ram Nathalie Baracaldo Sijia Liu MU 35 2 0 23 Oct 2024
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models Vinith Suriyakumar Rohan Alur Ayush Sekhari Manish Raghavan Ashia Wilson 55 2 0 10 Oct 2024
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept YuXuan Wu Bonaventure F. P. Dossou Dianbo Liu MU 26 0 0 08 Oct 2024
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models Yan Scholten Stephan Günnemann Leo Schwinn MU 60 6 0 04 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress Pratiksha Thaker Shengyuan Hu Neil Kale Yash Maurya Zhiwei Steven Wu Virginia Smith MU 53 10 0 03 Oct 2024
MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts Tianle Gu Kexin Huang Ruilin Luo Yuanqi Yao Yujiu Yang Yan Teng Yingchun Wang MU 42 5 0 18 Sep 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 83 3 0 17 Sep 2024
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions Siqiao Mu Diego Klabjan MU 50 3 0 15 Sep 2024
Fast Training Dataset Attribution via In-Context Learning Milad Fotouhi M. T. Bahadori Oluwaseyi Feyisetan P. Arabshahi David Heckerman 33 0 0 14 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 56 16 0 06 Aug 2024
Towards Certified Unlearning for Deep Neural Networks Binchi Zhang Yushun Dong Tianhao Wang Wenlin Yao MU 64 7 0 01 Aug 2024
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs Zhenhua Liu Tong Zhu Chuanyuan Tan Wenliang Chen PILM MU 53 8 0 14 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 62 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 61 7 0 24 Jun 2024
On Newton's Method to Unlearn Neural Networks Nhung Bui Xinyang Lu Rachael Hwee Ling Sim See-Kiong Ng Bryan Kian Hsiang Low MU 41 2 0 20 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 40 2 0 11 Jun 2024
When LLMs Meet Cybersecurity: A Systematic Literature Review Jie Zhang Haoyu Bu Hui Wen Yu Chen Lun Li Hongsong Zhu 45 36 0 06 May 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning Jinghan Jia Yihua Zhang Yimeng Zhang Jiancheng Liu Bharat Runwal James Diffenderfer B. Kailkhura Sijia Liu MU 43 35 0 28 Apr 2024
Distilled Datamodel with Reverse Gradient Matching Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang DD 41 3 0 22 Apr 2024
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning Zhixin Pan Emma Andrews Laura Chang Prabhat Mishra MU 43 1 0 19 Apr 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 40 14 0 21 Feb 2024
TOFU: A Task of Fictitious Unlearning for LLMs Pratyush Maini Zhili Feng Avi Schwarzschild Zachary Chase Lipton J. Zico Kolter MU CLL 38 143 0 11 Jan 2024
Unlearn What You Want to Forget: Efficient Unlearning for LLMs Jiaao Chen Diyi Yang MU 30 137 0 31 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 55 7 0 25 Sep 2023
Machine Unlearning Methodology base on Stochastic Teacher Network Xulong Zhang Jianzong Wang Ning Cheng Yifu Sun Chuanyao Zhang Jing Xiao MU 26 4 0 28 Aug 2023
A Survey of Graph Unlearning Anwar Said Tyler Derr Mudassir Shabbir W. Abbas X. Koutsoukos MU 28 7 0 23 Aug 2023
Counterfactual Explanation Policies in RL Shripad Deshmukh R Srivatsan Supriti Vijay Jayakumar Subramanian Chirag Agarwal OffRL 37 0 0 25 Jul 2023
From Adaptive Query Release to Machine Unlearning Enayat Ullah R. Arora MU 30 4 0 20 Jul 2023
Data Redaction from Conditional Generative Models Zhifeng Kong Kamalika Chaudhuri KELM 16 7 0 18 May 2023
The Ethics of AI in Games Dávid Melhárt Julian Togelius Benedikte Mikkelsen Christoffer Holmgård Georgios N. Yannakakis 31 24 0 12 May 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks Jiali Cheng George Dasoulas Huan He Chirag Agarwal Marinka Zitnik MU 37 36 0 26 Feb 2023
Subspace based Federated Unlearning Guang-Ming Li Li Shen Yan Sun Yuejun Hu Han Hu Dacheng Tao MU FedML 28 20 0 24 Feb 2023
Towards Unbounded Machine Unlearning M. Kurmanji Peter Triantafillou Jamie Hayes Eleni Triantafillou MU 28 123 0 20 Feb 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks Jimmy Z. Di Jack Douglas Jayadev Acharya Gautam Kamath Ayush Sekhari MU 32 44 0 21 Dec 2022
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 25 32 0 06 Nov 2022
Machine Unlearning of Federated Clusters Chao Pan Jin Sima Saurav Prakash Vishal Rana O. Milenkovic FedML MU 39 25 0 28 Oct 2022