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Personal digital data is a critical asset, and governments worldwide have enforced laws and regulations to protect data privacy.
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A Swiss Army Infinitesimal Jackknife. In The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan (Proceedings of Machine Learning Research, Vol. 89) . 1139–1147
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Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning
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Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. In Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIX (Lecture Notes in Computer Science, Vol. 12374) . 383–398
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Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020 . 9301–9309
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"Amnesia" - Machine Learning Models That Can Forget User Data Very Fast. In 10th Conference on Innovative Data Systems Research, CIDR 2020, Amsterdam, The Netherlands, January 12-15, 2020, Online Proceedings
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DeltaGrad: Rapid retraining of machine learning models. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event (Proceedings of Machine Learning Research, Vol. 119) . 10355–10366
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Machine Unlearning for Random Forests. In Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event (Proceedings of Machine Learning Research, Vol. 139) . 1092–1104
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Mixed-Privacy Forgetting in Deep Networks. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021 . 792–801
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Amnesiac Machine Learning. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021 . 11516–11524
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Descent-to-Delete: Gradient-Based Methods for Machine Unlearning. In Algorithmic Learning Theory, 16-19 March 2021, Virtual Conference, Worldwide (Proceedings of Machine Learning Research, Vol. 132) . 931–962
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