Machine Unlearning

9 December 2019

Lucas Bourtoule

Varun Chandrasekaran

Christopher A. Choquette-Choo

Papers citing "Machine Unlearning"

50 / 524 papers shown

Title
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
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
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection Weilin Cong Mehrdad Mahdavi MU 16 17 0 17 Feb 2023
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting Benjamin Bowman Alessandro Achille L. Zancato Matthew Trager Pramuditha Perera Giovanni Paolini Stefano Soatto VPVLM 29 19 0 15 Feb 2023
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations Mimee Xu Jiankai Sun Xin Yang K. Yao Chong-Jun Wang MU CML CLL 22 11 0 13 Feb 2023
Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten Satyapriya Krishna Jiaqi Ma Himabindu Lakkaraju 24 13 0 08 Feb 2023
Efficient Parametric Approximations of Neural Network Function Space Distance Nikita Dhawan Sicong Huang Juhan Bae Roger C. Grosse 16 5 0 07 Feb 2023
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods Dawen Zhang Shidong Pan Thong Hoang Zhenchang Xing Mark Staples Xiwei Xu Lina Yao Qinghua Lu Liming Zhu MU 30 16 0 07 Feb 2023
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning Xiangrong Zhu Guang-pu Li Wei Hu MU FedML 27 48 0 04 Feb 2023
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation Noel Loo Ramin Hasani Mathias Lechner Alexander Amini Daniela Rus DD 42 5 0 02 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 46 606 0 31 Jan 2023
Practical Differentially Private Hyperparameter Tuning with Subsampling A. Koskela Tejas D. Kulkarni 41 14 0 27 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
Privacy Adhering Machine Un-learning in NLP Vinayshekhar Bannihatti Kumar Rashmi Gangadharaiah Dan Roth AILaw MU 30 28 0 19 Dec 2022
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning Hongbin Liu Wenjie Qu Jinyuan Jia Neil Zhenqiang Gong SSL 28 6 0 06 Dec 2022
Taming Normalizing Flows Shimon Malnick S. Avidan Ohad Fried TPM DiffM 29 1 0 29 Nov 2022
Rank-One Editing of Encoder-Decoder Models Vikas Raunak Arul Menezes KELM 26 10 0 23 Nov 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
Learning to Counterfactually Explain Recommendations Yuanshun Yao Chong Wang Hang Li CML OffRL 22 1 0 17 Nov 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
LegoNet: A Fast and Exact Unlearning Architecture Sihao Yu Fei Sun J. Guo Ruqing Zhang Xueqi Cheng MU 42 8 0 28 Oct 2022
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe Xiang Yue Huseyin A. Inan Xuechen Li Girish Kumar Julia McAnallen Hoda Shajari Huan Sun David Levitan Robert Sim 58 79 0 25 Oct 2022
Proof of Unlearning: Definitions and Instantiation Jiasi Weng Shenglong Yao Yuefeng Du Junjie Huang Jian Weng Cong Wang MU 34 12 0 20 Oct 2022
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information Xiaoyu Cao Jinyuan Jia Zaixi Zhang Neil Zhenqiang Gong FedML MU AAML 29 73 0 20 Oct 2022
The Future of Consumer Edge-AI Computing Stefanos Laskaridis Stylianos I. Venieris Alexandros Kouris Rui Li Nicholas D. Lane 45 8 0 19 Oct 2022
Forget Unlearning: Towards True Data-Deletion in Machine Learning R. Chourasia Neil Shah MU 21 40 0 17 Oct 2022
Verifiable and Provably Secure Machine Unlearning Thorsten Eisenhofer Doreen Riepel Varun Chandrasekaran Esha Ghosh O. Ohrimenko Nicolas Papernot AAML MU 41 26 0 17 Oct 2022
Deep Regression Unlearning Ayush K Tarun Vikram S Chundawat Murari Mandal Mohan S. Kankanhalli BDL MU 26 32 0 15 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
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction Renee Shelby Shalaleh Rismani Kathryn Henne AJung Moon Negar Rostamzadeh ... N'Mah Yilla-Akbari Jess Gallegos A. Smart Emilio Garcia Gurleen Virk 36 188 0 11 Oct 2022
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets Chen Gong Zhou Yang Yunru Bai Junda He Jieke Shi ... Arunesh Sinha Bowen Xu Xinwen Hou David Lo Guoliang Fan AAML OffRL 21 7 0 07 Oct 2022
Knowledge Unlearning for Mitigating Privacy Risks in Language Models Joel Jang Dongkeun Yoon Sohee Yang Sungmin Cha Moontae Lee Lajanugen Logeswaran Minjoon Seo KELM PILM MU 147 193 0 04 Oct 2022
Certified Data Removal in Sum-Product Networks Alexander Becker Thomas Liebig MU 53 1 0 04 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
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models Sohaib Ahmad Benjamin Fuller Kaleel Mahmood AAML 27 0 0 22 Sep 2022
Can There be Art Without an Artist? A. Ghosh Genoveva Fossas 58 25 0 16 Sep 2022
Non-Parametric Temporal Adaptation for Social Media Topic Classification Fatemehsadat Mireshghallah Nikolai Vogler Junxian He Omar U. Florez Ahmed El-Kishky Taylor Berg-Kirkpatrick TTA 16 0 0 13 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
Data Isotopes for Data Provenance in DNNs Emily Wenger Xiuyu Li Ben Y. Zhao Vitaly Shmatikov 20 12 0 29 Aug 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
Federated Unlearning: How to Efficiently Erase a Client in FL? Anisa Halimi S. Kadhe Ambrish Rawat Nathalie Baracaldo MU 22 121 0 12 Jul 2022
Repairing Neural Networks by Leaving the Right Past Behind Ryutaro Tanno Melanie F. Pradier A. Nori Yingzhen Li KELM 33 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
Measuring Forgetting of Memorized Training Examples Matthew Jagielski Om Thakkar Florian Tramèr Daphne Ippolito Katherine Lee ... Eric Wallace Shuang Song Abhradeep Thakurta Nicolas Papernot Chiyuan Zhang TDI 66 102 0 30 Jun 2022
Data Redaction from Pre-trained GANs Zhifeng Kong Kamalika Chaudhuri 58 16 0 29 Jun 2022
Certified Graph Unlearning Eli Chien Chao Pan O. Milenkovic MU 30 38 0 18 Jun 2022