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Individualized PATE: Differentially Private Machine Learning with Individual Privacy Guarantees., , , , и . Proc. Priv. Enhancing Technol., 2023 (1): 158-176 (января 2023)BigDAWG Polystore Release and Demonstration., , , , , , , , , и . CoRR, (2017)Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders., , , , и . CoRR, (2023)Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios., , , , и . CoRR, (2020)When the Curious Abandon Honesty: Federated Learning Is Not Private., , , , , и . EuroS&P, стр. 175-199. IEEE, (2023)Integrating real-time and batch processing in a polystore., , , , , , и . HPEC, стр. 1-7. IEEE, (2016)BigDAWG version 0.1., , , , , , , , , и . HPEC, стр. 1-7. IEEE, (2017)An Empirical Evaluation of Perturbation-based Defenses., и . CoRR, (2020)Robust and Actively Secure Serverless Collaborative Learning., , , , , , , , , и . CoRR, (2023)DeepLens: Towards a Visual Data Management System., , и . CIDR, www.cidrdb.org, (2019)