Machine Unlearning

9 December 2019

Lucas Bourtoule

Varun Chandrasekaran

Christopher A. Choquette-Choo

Papers citing "Machine Unlearning"

50 / 523 papers shown

Title
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning Weiqi Wang Chenhan Zhang Zhiyi Tian Shushu Liu Shui Yu MU 42 0 0 27 Feb 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
Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal Weipeng Jiang Juan Zhai Shiqing Ma Ziyan Lei Xiaofei Xie Yige Wang Chao Shen MU 66 0 0 26 Feb 2025
Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond Qizhou Wang Jin Peng Zhou Zhanke Zhou Saebyeol Shin Bo Han Kilian Q. Weinberger AILaw ELM MU 68 3 0 26 Feb 2025
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models Yu He Boheng Li L. Liu Zhongjie Ba Wei Dong Yiming Li Z. Qin Kui Ren C. L. P. Chen MIALM 74 0 0 26 Feb 2025
A General Framework to Enhance Fine-tuning-based LLM Unlearning J. Ren Zhenwei Dai X. Tang Hui Liu Jingying Zeng ... R. Goutam Suhang Wang Yue Xing Qi He Hui Liu MU 163 1 0 25 Feb 2025
Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training Jaydeep Borkar Matthew Jagielski Katherine Lee Niloofar Mireshghallah David A. Smith Christopher A. Choquette-Choo PILM 80 1 0 24 Feb 2025
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models Shunchang Liu Zhuan Shi Lingjuan Lyu Yaochu Jin Boi Faltings 66 2 0 24 Feb 2025
When to Forget? Complexity Trade-offs in Machine Unlearning Martin Van Waerebeke Marco Lorenzi Giovanni Neglia Kevin Scaman MU 43 0 0 24 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
UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning Vaidehi Patil Elias Stengel-Eskin Mohit Bansal MU CLL 75 2 0 20 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
SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning Junkai Chen Zhijie Deng Kening Zheng Yibo Yan Shuliang Liu PeiJun Wu Peijie Jiang J. Liu Xuming Hu MU 61 3 0 18 Feb 2025
Towards Reliable Empirical Machine Unlearning Evaluation: A Cryptographic Game Perspective Yiwen Tu Pingbang Hu Jiaqi W. Ma MU 66 0 0 17 Feb 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
Jailbreaking to Jailbreak Jeremy Kritz Vaughn Robinson Robert Vacareanu Bijan Varjavand Michael Choi Bobby Gogov Scale Red Team Summer Yue Willow Primack Zifan Wang 199 1 0 09 Feb 2025
Adversarial ML Problems Are Getting Harder to Solve and to Evaluate Javier Rando Jie Zhang Nicholas Carlini F. Tramèr AAML ELM 59 3 0 04 Feb 2025
Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data Huawei Lin Jun Woo Chung Yingjie Lao Weijie Zhao 51 0 0 03 Feb 2025
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning Dayong Ye Tainqing Zhu J. Li Kun Gao B. Liu L. Zhang Wanlei Zhou Y. Zhang AAML MU 80 0 0 28 Jan 2025
Unlearning Clients, Features and Samples in Vertical Federated Learning Ayush K. Varshney Konstantinos Vandikas V. Torra MU 39 1 0 23 Jan 2025
Episodic memory in AI agents poses risks that should be studied and mitigated Chad DeChant 64 2 0 20 Jan 2025
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions Maryam Ebrahimi Rajeev Sahay Seyyedali Hosseinalipour Bita Akram 42 1 0 20 Jan 2025
OpenGU: A Comprehensive Benchmark for Graph Unlearning Bowen Fan Yuming Ai Xunkai Li Zhilin Guo Rong-Hua Li Guoren Wang MU 43 0 0 06 Jan 2025
Vertical Federated Unlearning via Backdoor Certification Mengde Han Tianqing Zhu Lefeng Zhang Huan Huo Wanlei Zhou FedML MU 69 2 0 16 Dec 2024
datadriftR: An R Package for Concept Drift Detection in Predictive Models Ugur Dar Mustafa Cavus 92 0 0 15 Dec 2024
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice A. Feder Cooper Christopher A. Choquette-Choo Miranda Bogen Matthew Jagielski Katja Filippova ... Abigail Z. Jacobs Andreas Terzis Hanna M. Wallach Nicolas Papernot Katherine Lee AILaw MU 93 10 0 09 Dec 2024
Copyright-Protected Language Generation via Adaptive Model Fusion Javier Abad Konstantin Donhauser Francesco Pinto Fanny Yang 74 1 0 09 Dec 2024
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication Chenghao Li Yuke Zhang Dake Chen Jingqi Xu P. Beerel 68 0 0 02 Dec 2024
Memories of Forgotten Concepts M. Rusanovsky Shimon Malnick Amir Jevnisek Ohad Fried S. Avidan DiffM 61 0 0 01 Dec 2024
Learning to Forget using Hypernetworks Jose Miguel Lara Rangel Stefan Schoepf Jack Foster David M. Krueger Usman Anwar MU 75 1 0 01 Dec 2024
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
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient Lei Zhou Youwen Zhu Qiao Xue Ji Zhang Pengfei Zhang MU 87 1 0 28 Nov 2024
Don't Let Your Robot be Harmful: Responsible Robotic Manipulation Minheng Ni Lei Zhang Z. Chen L. Zhang Wangmeng Zuo 72 1 0 27 Nov 2024
Targeted Therapy in Data Removal: Object Unlearning Based on Scene Graphs Chenhan Zhang B. Zhao H. Asghar Dali Kaafar MU 78 0 0 25 Nov 2024
Delta-Influence: Unlearning Poisons via Influence Functions Wenjie Li Jiawei Li Christian Schroeder de Witt Ameya Prabhu Amartya Sanyal TDI MU 92 0 0 20 Nov 2024
Verifying Machine Unlearning with Explainable AI Àlex Pujol Vidal A. S. Johansen M. N. Jahromi Sergio Escalera Kamal Nasrollahi T. Moeslund MU 66 1 0 20 Nov 2024
A Review on Machine Unlearning Haibo Zhang Toru Nakamura Takamasa Isohara Kouichi Sakurai AILaw PILM MU 88 47 0 18 Nov 2024
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Yu Jiang Xindi Tong Ziyao Liu Huanyi Ye Chee Wei Tan K. Lam MU 33 1 0 17 Nov 2024
Neural Corrective Machine Unranking Jingrui Hou Axel Finke Georgina Cosma MU 40 1 0 13 Nov 2024
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage Hengzhu Liu Tianqing Zhu Lefeng Zhang Ping Xiong MU 39 0 0 06 Nov 2024
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset Yingzi Ma Jiongxiao Wang Fei-Yue Wang Siyuan Ma Jiazhao Li ... B. Li Yejin Choi M. Chen Chaowei Xiao Chaowei Xiao MU 58 6 0 05 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 23 1 0 04 Nov 2024
Model Integrity when Unlearning with T2I Diffusion Models Andrea Schioppa Emiel Hoogeboom Jonathan Heek 43 3 0 04 Nov 2024
Identify Backdoored Model in Federated Learning via Individual Unlearning Jiahao Xu Zikai Zhang Rui Hu FedML AAML 60 1 0 01 Nov 2024
Black-Box Forgetting Yusuke Kuwana Yuta Goto Takashi Shibata Go Irie CLL MU VLM 26 0 0 01 Nov 2024
Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation Wenhan Chang Tianqing Zhu Yufeng Wu Wanlei Zhou MU 21 0 0 31 Oct 2024
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP Tianyu Yang Lisen Dai Zheyuan Liu Xiangqi Wang Meng-Long Jiang Yapeng Tian Xiangliang Zhang VLM MU 29 4 0 30 Oct 2024
Machine Unlearning using Forgetting Neural Networks Amartya Hatua Trung T. Nguyen Filip Cano Andrew H. Sung MU 22 0 0 29 Oct 2024
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate Zhiqi Bu Xiaomeng Jin Bhanukiran Vinzamuri Anil Ramakrishna Kai-Wei Chang V. Cevher Mingyi Hong MU 85 6 0 29 Oct 2024
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin Linwei Tao Minjing Dong Chang Xu TDI 38 2 0 24 Oct 2024