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Making AI Forget You: Data Deletion in Machine Learning

11 July 2019

Papers citing "Making AI Forget You: Data Deletion in Machine Learning"

34 / 134 papers shown

Title
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 113 75 0 04 Jul 2021
Knowledge-Adaptation Priors Mohammad Emtiyaz Khan S. Swaroop BDL VLM ODL 58 27 0 16 Jun 2021
Adaptive Machine Unlearning Varun Gupta Christopher Jung Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi Chris Waites MU 71 184 0 08 Jun 2021
A unified PAC-Bayesian framework for machine unlearning via information risk minimization Sharu Theresa Jose Osvaldo Simeone MU 78 7 0 01 Jun 2021
Bayesian Variational Federated Learning and Unlearning in Decentralized Networks J. Gong Osvaldo Simeone Joonhyuk Kang FedML MU 82 13 0 08 Apr 2021
Graph Unlearning Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MU 106 149 0 27 Mar 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning Ayush Sekhari Jayadev Acharya Gautam Kamath A. Suresh FedML MU 94 316 0 04 Mar 2021
Machine Unlearning via Algorithmic Stability Enayat Ullah Tung Mai Anup B. Rao Ryan Rossi R. Arora 107 110 0 25 Feb 2021
Bayesian Inference Forgetting Shaopeng Fu Fengxiang He Yue Xu Dacheng Tao MU 88 12 0 16 Jan 2021
Federated Unlearning Gaoyang Liu Xiaoqiang Ma Yang Yang Chen Wang Jiangchuan Liu MU 132 59 0 27 Dec 2020
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 224 168 0 24 Dec 2020
Selective Forgetting of Deep Networks at a Finer Level than Samples Tomohiro Hayase S. Yasutomi Takashi Katoh 74 12 0 22 Dec 2020
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective N. Truong Kai Sun Siyao Wang Florian Guitton Yike Guo FedML 65 9 0 10 Nov 2020
Variational Bayesian Unlearning Q. Nguyen Bryan Kian Hsiang Low Patrick Jaillet BDL MU 98 128 0 24 Oct 2020
Amnesiac Machine Learning Laura Graves Vineel Nagisetty Vijay Ganesh MU MIACV 89 274 0 21 Oct 2020
Machine Unlearning for Random Forests Jonathan Brophy Daniel Lowd MU 91 164 0 11 Sep 2020
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi MU 102 276 0 06 Jul 2020
DeltaGrad: Rapid retraining of machine learning models Yinjun Wu Yan Sun S. Davidson MU 79 202 0 26 Jun 2020
Operationalizing the Legal Principle of Data Minimization for Personalization Asia J. Biega P. Potash Hal Daumé Fernando Diaz Michèle Finck AILaw 96 71 0 28 May 2020
When Machine Unlearning Jeopardizes Privacy Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MIACV 92 233 0 05 May 2020
Learn to Forget: Machine Unlearning via Neuron Masking Yang Liu Zhuo Ma Ximeng Liu Jian Liu Zhongyuan Jiang Jianfeng Ma Philip Yu K. Ren MU 88 67 0 24 Mar 2020
Towards Probabilistic Verification of Machine Unlearning David M. Sommer Liwei Song Sameer Wagh Prateek Mittal AAML 119 73 0 09 Mar 2020
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations Aditya Golatkar Alessandro Achille Stefano Soatto MU OOD 177 198 0 05 Mar 2020
A Distributional Framework for Data Valuation Amirata Ghorbani Michael P. Kim James Zou TDI 54 133 0 27 Feb 2020
Formalizing Data Deletion in the Context of the Right to be Forgotten Sanjam Garg S. Goldwasser Prashant Nalini Vasudevan AILaw MU 108 83 0 25 Feb 2020
Approximate Data Deletion from Machine Learning Models Zachary Izzo Mary Anne Smart Kamalika Chaudhuri James Zou MU 101 265 0 24 Feb 2020
Distributed Optimization over Block-Cyclic Data Yucheng Ding Chaoyue Niu Yikai Yan Zhenzhe Zheng Fan Wu Guihai Chen Shaojie Tang Rongfei Jia FedML 106 16 0 18 Feb 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 181 133 0 07 Feb 2020
Analyzing Information Leakage of Updates to Natural Language Models Santiago Zanella Béguelin Lukas Wutschitz Shruti Tople Victor Rühle Andrew Paverd O. Ohrimenko Boris Köpf Marc Brockschmidt ELM MIACV FedML PILM KELM 86 127 0 17 Dec 2019
Machine Unlearning Lucas Bourtoule Varun Chandrasekaran Christopher A. Choquette-Choo Hengrui Jia Adelin Travers Baiwu Zhang David Lie Nicolas Papernot MU 197 888 0 09 Dec 2019
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Stefano Soatto CLL MU 114 506 0 12 Nov 2019
Certified Data Removal from Machine Learning Models Chuan Guo Tom Goldstein Awni Y. Hannun Laurens van der Maaten MU 151 452 0 08 Nov 2019
Secure Federated Submodel Learning Chaoyue Niu Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv Zhihua Wu Guihai Chen FedML 69 30 0 06 Nov 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 130 1,014 0 23 Jul 2019