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Towards Efficient Target-Level Machine Unlearning Based on Essential Graph.

, , , , и . CoRR, (2024)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matching. TU München, (2009)

Xianghui Zhang

Le Zhang

Gang Zhang

 

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Location privacy preservation through kernel transformation., , , , и . Concurr. Comput. Pract. Exp., (2022)A Differentially Private Method for Crowdsourcing Data Submission., , и . PAKDD (Workshops), том 11154 из Lecture Notes in Computer Science, стр. 142-148. Springer, (2018)More than Privacy: Adopting Differential Privacy in Game-theoretic Mechanism Design., , , , и . ACM Comput. Surv., 54 (7): 136:1-136:37 (2022)Machine Unlearning: A Survey., , , , и . ACM Comput. Surv., 56 (1): 9:1-9:36 (января 2024)Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs., , , и . CoRR, (2024)Integration of Low-Cost GNSS and Monocular Cameras for Simultaneous Localization and Mapping., , , , и . Sensors, 18 (7): 2193 (2018)Returns Acquiring and HRRP Imaging for Radar Ship Target Recognition., , и . ICDMA, стр. 1055-1059. IEEE Computer Society, (2011)Federated Learning with Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach., , , , , и . CoRR, (2024)Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation., , , , и . CoRR, (2024)Towards Efficient Target-Level Machine Unlearning Based on Essential Graph., , , , и . CoRR, (2024)