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Analyzing Privacy Loss in Updates of Natural Language Models., , , , and . CoRR, (2019)Privado: Practical and Secure DNN Inference., , , , and . CoRR, (2018)Grey-box Extraction of Natural Language Models., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 12278-12286. PMLR, (2021)SoK: Memorization in General-Purpose Large Language Models., , , , , and . CoRR, (2023)Membership Inference Attacks and Generalization: A Causal Perspective., , , , and . CCS, page 249-262. ACM, (2022)FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning., , , , , and . CoRR, (2020)PRO-ORAM: Practical Read-Only Oblivious RAM., , and . RAID, page 197-211. USENIX Association, (2019)Closed-Form Bounds for DP-SGD against Record-level Inference., , , , , and . USENIX Security Symposium, USENIX Association, (2024)Robust P2P Primitives Using SGX Enclaves., , , , , and . ICDCS, page 1185-1186. IEEE, (2020)Distribution inference risks: Identifying and mitigating sources of leakage., , , , , and . CoRR, (2022)