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Per-Instance Privacy Accounting for Differentially Private Stochastic Gradient Descent., , , , , и . CoRR, (2022)Differentially Private Fine-tuning of Language Models., , , , , , , , , и 2 other автор(ы). CoRR, (2021)Gradient Perturbation is Underrated for Differentially Private Convex Optimization., , , , и . IJCAI, стр. 3117-3123. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Safely and automatically updating in-network ACL configurations with intent language., , , , , , , , , и 4 other автор(ы). SIGCOMM, стр. 214-226. ACM, (2019)How Does Data Augmentation Affect Privacy in Machine Learning?, , , , и . AAAI, стр. 10746-10753. AAAI Press, (2021)Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning., , , и . ICLR, OpenReview.net, (2021)Differentially Private Fine-tuning of Language Models., , , , , , , , , и 2 other автор(ы). ICLR, OpenReview.net, (2022)Neighborhood Extended Dynamic Graph Neural Network., , и . ICMLC, стр. 74-82. ACM, (2022)Detecting SIP flooding attacks on IP Multimedia Subsystem (IMS)., , и . ICNC, стр. 154-158. IEEE Computer Society, (2012)High-cycle fatigue life prediction for Pb-free BGA under random vibration loading., , , , и . Microelectron. Reliab., 51 (3): 649-656 (2011)