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On the Precision Loss in Approximate Homomorphic Encryption., , , , , and . SAC, volume 14201 of Lecture Notes in Computer Science, page 325-345. Springer, (2023)nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data., , , and . WAHC@CCS, page 45-56. ACM, (2019)Which Ring Based Somewhat Homomorphic Encryption Scheme is Best?, and . IACR Cryptology ePrint Archive, (2015)On the precision loss in approximate homomorphic encryption., , , , , and . IACR Cryptol. ePrint Arch., (2022)WAHC'22: 10th Workshop on Encrypted Computing and Applied Homomorphic Cryptography., , and . CCS, page 3531-3532. ACM, (2022)On the Concrete Security of Approximate FHE with Noise-Flooding Countermeasures., , , , , and . IACR Cryptol. ePrint Arch., (2024)Homomorphic Encryption without Gaussian Noise., and . IACR Cryptology ePrint Archive, (2017)HEBI: Homomorphically Encrypted Biometric Indexing., , , , , , , , and . IJCB, page 1-10. IEEE, (2023)HELIOPOLIS: Verifiable Computation over Homomorphically Encrypted Data from Interactive Oracle Proofs is Practical., , , and . IACR Cryptol. ePrint Arch., (2023)Optimizations and Trade-offs for HElib., , and . IACR Cryptol. ePrint Arch., (2023)