Certified Data Removal from Machine Learning Models

8 November 2019

Chuan Guo

Tom Goldstein

Awni Y. Hannun

L. V. D. van der Maaten

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Papers citing "Certified Data Removal from Machine Learning Models"

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Title
Towards Adversarial Evaluations for Inexact Machine Unlearning Shashwat Goel Ameya Prabhu Amartya Sanyal Ser-Nam Lim Philip Torr Ponnurangam Kumaraguru AAML ELM MU 29 47 0 17 Jan 2022
Zero-Shot Machine Unlearning Vikram S Chundawat Ayush K Tarun Murari Mandal Mohan S. Kankanhalli MU 19 120 0 14 Jan 2022
Forget-SVGD: Particle-Based Bayesian Federated Unlearning J. Gong Osvaldo Simeone Rahif Kassab Joonhyuk Kang FedML MU 19 23 0 23 Nov 2021
Machine unlearning via GAN Kongyang Chen Yao Huang Yiwen Wang MU 16 7 0 22 Nov 2021
Fast Yet Effective Machine Unlearning Ayush K Tarun Vikram S Chundawat Murari Mandal Mohan S. Kankanhalli MU 31 171 0 17 Nov 2021
Lightweight machine unlearning in neural network Kongyang Chen Yiwen Wang Yao Huang MU 22 7 0 10 Nov 2021
On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning Anvith Thudi Hengrui Jia Ilia Shumailov Nicolas Papernot MU 8 141 0 22 Oct 2021
Federated Unlearning via Class-Discriminative Pruning Junxiao Wang Song Guo Xin Xie Heng Qi MU 11 137 0 22 Oct 2021
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 94 50 0 13 Oct 2021
Unrolling SGD: Understanding Factors Influencing Machine Unlearning Anvith Thudi Gabriel Deza Varun Chandrasekaran Nicolas Papernot MU 23 163 0 27 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 38 16 0 20 Sep 2021
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning Neil G. Marchant Benjamin I. P. Rubinstein Scott Alfeld MU AAML 25 69 0 17 Sep 2021
EMA: Auditing Data Removal from Trained Models Yangsibo Huang Xiaoxiao Li Kai Li 10 14 0 08 Sep 2021
Machine Unlearning of Features and Labels Alexander Warnecke Lukas Pirch Christian Wressnegger Konrad Rieck MU 8 172 0 26 Aug 2021
SSSE: Efficiently Erasing Samples from Trained Machine Learning Models Alexandra Peste Dan Alistarh Christoph H. Lampert MU 21 28 0 08 Jul 2021
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 21 71 0 04 Jul 2021
Certifiable Machine Unlearning for Linear Models Ananth Mahadevan M. Mathioudakis MU 14 45 0 29 Jun 2021
Knowledge-Adaptation Priors Mohammad Emtiyaz Khan S. Swaroop BDL VLM ODL 6 25 0 16 Jun 2021
Adaptive Machine Unlearning Varun Gupta Christopher Jung Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi Chris Waites MU 16 174 0 08 Jun 2021
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks Yingzhe He Guozhu Meng Kai Chen Jinwen He Xingbo Hu MU 11 27 0 13 May 2021
Graph Unlearning Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MU 19 138 0 27 Mar 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning Ayush Sekhari Jayadev Acharya Gautam Kamath A. Suresh FedML MU 39 284 0 04 Mar 2021
Machine Unlearning via Algorithmic Stability Enayat Ullah Tung Mai Anup B. Rao Ryan Rossi R. Arora 32 101 0 25 Feb 2021
Bayesian Inference Forgetting Shaopeng Fu Fengxiang He Yue Xu Dacheng Tao MU 23 12 0 16 Jan 2021
Reviving Purpose Limitation and Data Minimisation in Data-Driven Systems Asia J. Biega Michèle Finck 18 20 0 15 Jan 2021
Coded Machine Unlearning Nasser Aldaghri Hessam Mahdavifar Ahmad Beirami MIACV 24 37 0 31 Dec 2020
Federated Unlearning Gaoyang Liu Xiaoqiang Ma Yang Yang Chen Wang Jiangchuan Liu MU 41 53 0 27 Dec 2020
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 130 159 0 24 Dec 2020
Selective Forgetting of Deep Networks at a Finer Level than Samples Tomohiro Hayase S. Yasutomi Takashi Katoh 13 10 0 22 Dec 2020
LQF: Linear Quadratic Fine-Tuning Alessandro Achille Aditya Golatkar Avinash Ravichandran M. Polito Stefano Soatto 29 27 0 21 Dec 2020
Data Appraisal Without Data Sharing Mimee Xu L. V. D. van der Maaten Awni Y. Hannun TDI 39 6 0 11 Dec 2020
Near-Optimal Procedures for Model Discrimination with Non-Disclosure Properties Dmitrii Ostrovskii M. Ndaoud Adel Javanmard Meisam Razaviyayn FedML 16 0 0 04 Dec 2020
Variational Bayesian Unlearning Q. Nguyen Bryan Kian Hsiang Low Patrick Jaillet BDL MU 27 121 0 24 Oct 2020
Amnesiac Machine Learning Laura Graves Vineel Nagisetty Vijay Ganesh MU MIACV 16 245 0 21 Oct 2020
Machine Unlearning for Random Forests Jonathan Brophy Daniel Lowd MU 19 158 0 11 Sep 2020
How Does Data Augmentation Affect Privacy in Machine Learning? Da Yu Huishuai Zhang Wei Chen Jian Yin Tie-Yan Liu MU 19 1 0 21 Jul 2020
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi MU 17 250 0 06 Jul 2020
DeltaGrad: Rapid retraining of machine learning models Yinjun Wu Yan Sun S. Davidson MU 25 196 0 26 Jun 2020
When Machine Unlearning Jeopardizes Privacy Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MIACV 31 217 0 05 May 2020
Learn to Forget: Machine Unlearning via Neuron Masking Yang Liu Zhuo Ma Ximeng Liu Jian-wei Liu Zhongyuan Jiang Jianfeng Ma Philip Yu K. Ren MU 20 61 0 24 Mar 2020
Towards Probabilistic Verification of Machine Unlearning David M. Sommer Liwei Song Sameer Wagh Prateek Mittal AAML 13 71 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 20 188 0 05 Mar 2020
Approximate Data Deletion from Machine Learning Models Zachary Izzo Mary Anne Smart Kamalika Chaudhuri James Zou MU 11 249 0 24 Feb 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 109 130 0 07 Feb 2020
Analyzing Information Leakage of Updates to Natural Language Models Santiago Zanella Béguelin Lukas Wutschitz Shruti Tople Victor Rühle Andrew J. Paverd O. Ohrimenko Boris Köpf Marc Brockschmidt ELM MIACV FedML PILM KELM 6 125 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 32 808 0 09 Dec 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,984 0 20 Apr 2018