Learn to Unlearn: A Survey on Machine Unlearning

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P. Voigt and A. Von dem Bussche, “The EU general data protection regulation (GDPR),” A Practical Guide, 1st Ed., Cham: Springer International Publishing , vol. 10, no. 3152676, pp. 10–5555, 2017

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R. Shokri, M. Stronati, C. Song, and V. Shmatikov, “Membership inference attacks against machine learning models,” in 2017 IEEE Symposium on Security and Privacy (SP) , 2017, pp. 3–18

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2017

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2020

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Q. P. Nguyen, B. K. H. Low, and P. Jaillet, “Variational bayesian unlearning,” Advances in Neural Information Processing Systems , vol. 33, pp. 16 025–16 036, 2020

2020

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A. Golatkar, A. Achille, and S. Soatto, “Eternal sunshine of the spotless net: Selective forgetting in deep networks,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2020, pp. 9304–9312

2020

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L. Bourtoule, V. Chandrasekaran, C. A. Choquette-Choo, H. Jia, A. Travers, B. Zhang, D. Lie, and N. Papernot, “Machine unlearning,” in 2021 IEEE Symposium on Security and Privacy (SP) . IEEE, 2021, pp. 141–159

2021

Cited alongside, same era.

A. Sekhari, J. Acharya, G. Kamath, and A. T. Suresh, “Remember what you want to forget: Algorithms for machine unlearning,” Advances in Neural Information Processing Systems , vol. 34, pp. 18 075–18 086, 2021

2021

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M. Chen, Z. Zhang, T. Wang, M. Backes, M. Humbert, and Y. Zhang, “When machine unlearning jeopardizes privacy,” in Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security , 2021, pp. 896–911

2021

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D. M. Sommer, L. Song, S. Wagh, and P. Mittal, “Athena: Probabilistic verification of machine unlearning,” Proceedings on Privacy Enhancing Technologies , vol. 3, pp. 268–290, 2022

2022

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N. G. Marchant, B. I. Rubinstein, and S. Alfeld, “Hard to forget: Poisoning attacks on certified machine unlearning,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 36, no. 7, 2022, pp. 7691–7700

2022

Later among the works it cites.