Adaptive Machine Unlearning

8 June 2021

Saeed Sharifi-Malvajerdi

Chris Waites

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Papers citing "Adaptive Machine Unlearning"

50 / 115 papers shown

Title
Unlearning Traces the Influential Training Data of Language Models Masaru Isonuma Ivan Titov MU 29 6 0 26 Jan 2024
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning Hong kyu Lee Qiuchen Zhang Carl Yang Jian Lou Li Xiong MU SSL 21 4 0 19 Jan 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning Eli Chien Haoyu Wang Ziang Chen Pan Li MU 37 8 0 18 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 24 4 0 17 Jan 2024
Reinforcement Unlearning Dayong Ye Tianqing Zhu Congcong Zhu Derui Wang Zewei Shi Sheng Shen Wanlei Zhou Jason Xue MU 28 7 0 26 Dec 2023
On the Effectiveness of Unlearning in Session-Based Recommendation Xin Xin Liu Yang Ziqi Zhao Pengjie Ren Zhumin Chen Jun Ma Zhaochun Ren MU 32 3 0 22 Dec 2023
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning Xiao Tian Rachael Hwee Ling Sim Jue Fan K. H. Low TDI 17 2 0 18 Dec 2023
DUCK: Distance-based Unlearning via Centroid Kinematics Marco Cotogni Jacopo Bonato Luigi Sabetta Francesco Pelosin Alessandro Nicolosi MU 41 7 0 04 Dec 2023
SecureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning Jian Zhang Bowen Li Jie Li Chentao Wu MU 41 3 0 22 Nov 2023
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation Ali Abbasi Chayne Thrash Elaheh Akbari Daniel Zhang Soheil Kolouri MU 32 3 0 21 Nov 2023
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 42 7 0 18 Nov 2023
Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems Dasol Choi Dongbin Na CVBM MU 21 15 0 03 Nov 2023
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models Xinwei Wu Junzhuo Li Minghui Xu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong MU KELM 32 46 0 31 Oct 2023
Detecting Pretraining Data from Large Language Models Weijia Shi Anirudh Ajith Mengzhou Xia Yangsibo Huang Daogao Liu Terra Blevins Danqi Chen Luke Zettlemoyer MIALM 33 164 0 25 Oct 2023
On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused? Hangfan Zhang Zhimeng Guo Huaisheng Zhu Bochuan Cao Lu Lin Jinyuan Jia Jinghui Chen Di Wu 78 23 0 02 Oct 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
Machine Unlearning: Solutions and Challenges Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 46 46 0 14 Aug 2023
Towards Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories Christian Jilek Markus Schröder H. Maus Sven Schwarz Andreas Dengel 11 4 0 03 Aug 2023
Training Data Protection with Compositional Diffusion Models Aditya Golatkar Alessandro Achille A. Swaminathan Stefano Soatto DiffM 32 11 0 02 Aug 2023
From Adaptive Query Release to Machine Unlearning Enayat Ullah R. Arora MU 30 4 0 20 Jul 2023
Gradient Surgery for One-shot Unlearning on Generative Model Seohui Bae Seoyoon Kim Hyemin Jung Woohyung Lim BDL MU 24 8 0 10 Jul 2023
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD Anvith Thudi Hengrui Jia Casey Meehan Ilia Shumailov Nicolas Papernot 33 3 0 01 Jul 2023
Ticketed Learning-Unlearning Schemes Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Ayush Sekhari Chiyuan Zhang MU 46 7 0 27 Jun 2023
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities Xudong Shen H. Brown Jiashu Tao Martin Strobel Yao Tong Akshay Narayan Harold Soh Finale Doshi-Velez 32 3 0 22 Jun 2023
Machine Unlearning: A Survey Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Philip S. Yu MU 36 19 0 06 Jun 2023
Information Flow Control in Machine Learning through Modular Model Architecture Trishita Tiwari Suchin Gururangan Chuan Guo Weizhe Hua Sanjay Kariyappa Udit Gupta Wenjie Xiong Kiwan Maeng Hsien-Hsin S. Lee G. E. Suh 21 6 0 05 Jun 2023
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions Leijie Wu Song Guo Junxiao Wang Zicong Hong Jie Zhang Jingren Zhou KELM 43 4 0 02 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
SAFE: Machine Unlearning With Shard Graphs Yonatan Dukler Benjamin Bowman Alessandro Achille Aditya Golatkar A. Swaminathan Stefano Soatto MU 22 22 0 25 Apr 2023
AI Model Disgorgement: Methods and Choices Alessandro Achille Michael Kearns Carson Klingenberg Stefano Soatto MU 31 11 0 07 Apr 2023
Inductive Graph Unlearning Cheng-Long Wang Mengdi Huai Di Wang MU 19 24 0 06 Apr 2023
Feature Unlearning for Pre-trained GANs and VAEs Saemi Moon Seunghyuk Cho Dongwoo Kim SSL GAN MU 28 13 0 10 Mar 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions Thuy-Dung Nguyen Tuan Nguyen Phi Le Nguyen Hieu H. Pham Khoa D. Doan Kok-Seng Wong AAML FedML 40 56 0 03 Mar 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
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare Juexiao Zhou Haoyang Li Xingyu Liao Bin Zhang Wenjia He Zhongxiao Li Longxi Zhou Xin Gao MU 33 13 0 20 Feb 2023
A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era Zhao Ren Yi Chang Thanh Tam Nguyen Yang Tan Kun Qian Björn W. Schuller VLM 62 17 0 23 Jan 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
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework Junzhuo Li Xinwei Wu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong 28 3 0 16 Dec 2022
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization Yann Fraboni Martin Van Waerebeke Kevin Scaman Richard Vidal Laetitia Kameni Marco Lorenzi FedML MU 15 14 0 21 Nov 2022
LegoNet: A Fast and Exact Unlearning Architecture Sihao Yu Fei Sun J. Guo Ruqing Zhang Xueqi Cheng MU 42 8 0 28 Oct 2022
Proof of Unlearning: Definitions and Instantiation Jiasi Weng Shenglong Yao Yuefeng Du Junjie Huang Jian Weng Cong Wang MU 31 12 0 20 Oct 2022
Forget Unlearning: Towards True Data-Deletion in Machine Learning R. Chourasia Neil Shah MU 21 40 0 17 Oct 2022
Control, Confidentiality, and the Right to be Forgotten A. Cohen Adam D. Smith Marika Swanberg Prashant Nalini Vasudevan AILaw MU 27 13 0 14 Oct 2022
Machine Unlearning Method Based On Projection Residual Zihao Cao Jianzong Wang Shijing Si Zhangcheng Huang Jing Xiao MU 77 6 0 30 Sep 2022
Algorithms that Approximate Data Removal: New Results and Limitations Vinith Suriyakumar Ashia Wilson MU 44 27 0 25 Sep 2022
An Introduction to Machine Unlearning Salvatore Mercuri Raad Khraishi Ramin Okhrati Devesh Batra Conor B. Hamill T. Ghasempour Andrew Nowlan MU 30 14 0 02 Sep 2022
Evaluating Machine Unlearning via Epistemic Uncertainty Alexander Becker Thomas Liebig UD ELM MU 25 33 0 23 Aug 2022
Learning with Recoverable Forgetting Jingwen Ye Yifang Fu Mingli Song Xingyi Yang Songhua Liu Xin Jin Mingli Song Xinchao Wang CLL KELM 22 41 0 17 Jul 2022
Repairing Neural Networks by Leaving the Right Past Behind Ryutaro Tanno Melanie F. Pradier A. Nori Yingzhen Li KELM 30 31 0 11 Jul 2022
Challenges and Pitfalls of Bayesian Unlearning Ambrish Rawat James Requeima W. Bruinsma Richard Turner BDL MU 44 5 0 07 Jul 2022