Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning.

@inproceedings{liu-2024-breaking, author = {Zheyuan Liu and Guangyao Dou and Eli Chien and Chunhui Zhang and Yijun Tian and Ziwei Zhu}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Ravi Kumar and Hady Wirawan Lauw and Roy Ka-Wei Lee}, title = {{Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning}}, booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}}, pages = {1260--1271}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589334.3645669}, doi = {https://doi.org/10.1145/3589334.3645669} }