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SynCirc: Efficient Synthesis of Depth-Optimized Circuits for Secure Computation.

, , , and . HOST, page 147-157. IEEE, (2021)

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HyFL: A Hybrid Approach For Private Federated Learning., , , , , and . CoRR, (2023)Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries"., , and . IEEE Trans. Inf. Forensics Secur., (2023)Breaking the Size Barrier: Universal Circuits Meet Lookup Tables., , , , , and . ASIACRYPT (1), volume 14438 of Lecture Notes in Computer Science, page 3-37. Springer, (2023)SynCirc: Efficient Synthesis of Depth-Optimized Circuits for Secure Computation., , , and . HOST, page 147-157. IEEE, (2021)ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation., , , and . USENIX Security Symposium, page 2165-2182. USENIX Association, (2021)FLAME: Taming Backdoors in Federated Learning., , , , , , , , , and 3 other author(s). USENIX Security Symposium, page 1415-1432. USENIX Association, (2022)Poster: Efficient Three-Party Shuffling Using Precomputation., , , and . CCS, page 3331-3333. ACM, (2022)MP2ML: a mixed-protocol machine learning framework for private inference., , , , and . ARES, page 14:1-14:10. ACM, (2020)Improved Universal Circuits using Lookup Tables., , , , , and . IACR Cryptol. ePrint Arch., (2022)Griffin: Towards Mixed Multi-Key Homomorphic Encryption., , and . SECRYPT, page 147-158. SCITEPRESS, (2023)