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A Shuffling Framework for Local Differential Privacy., , , и . CoRR, (2021)Data Privacy in Trigger-Action Systems., , , , , и . SP, стр. 501-518. IEEE, (2021)Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models., , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 1939-1951. PMLR, (2020)FairProof : Confidential and Certifiable Fairness for Neural Networks., , , и . ICML, OpenReview.net, (2024)Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models., , и . CoRR, (2019)A Random Forest classifier-based approach in the detection of abnormalities in the retina., , и . Medical Biol. Eng. Comput., 57 (1): 193-203 (2019)LMAC: A Lightweight Message Authentication Code for Wireless Sensor Network., и . GLOBECOM, стр. 1-6. IEEE, (2015)Strengthening Order Preserving Encryption with Differential Privacy., , , , и . CCS, стр. 2519-2533. ACM, (2022)EIFFeL: Ensuring Integrity for Federated Learning., , , и . CCS, стр. 2535-2549. ACM, (2022)Kalεido: Real-Time Privacy Control for Eye-Tracking Systems., , , и . USENIX Security Symposium, стр. 1793-1810. USENIX Association, (2021)