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Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries"., , and . IEEE Trans. Inf. Forensics Secur., (2023)Attesting Distributional Properties of Training Data for Machine Learning., , , , , and . CoRR, (2023)HyFL: A Hybrid Approach For Private Federated Learning., , , , , and . CoRR, (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)Improved Universal Circuits using Lookup Tables., , , , , and . IACR Cryptol. ePrint Arch., (2022)FLUTE: Fast and Secure Lookup Table Evaluations., , , , and . SP, page 515-533. IEEE, (2023)SafeFL: MPC-friendly Framework for Private and Robust Federated Learning., , , , , and . SP (Workshops), page 69-76. IEEE, (2023)Griffin: Towards Mixed Multi-Key Homomorphic Encryption., , and . SECRYPT, page 147-158. SCITEPRESS, (2023)FLUTE: Fast and Secure Lookup Table Evaluations (Full Version)., , , , and . IACR Cryptol. ePrint Arch., (2023)