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Private Machine Learning in TensorFlow using Secure Computation., , , , , , , and . CoRR, (2018)Type-Based Automated Verification of Authenticity in Asymmetric Cryptographic Protocols., , , and . ATVA, volume 6996 of Lecture Notes in Computer Science, page 75-89. Springer, (2011)Privacy-preserving collaborative machine learning on genomic data using TensorFlow., , , , , , and . ACM TUR-C, page 39-44. ACM, (2020)Noah's Ark: Efficient Threshold-FHE Using Noise Flooding., , , , , , , , and . WAHC@CCS, page 35-46. ACM, (2023)Private Data Aggregation on a Budget., , and . IACR Cryptology ePrint Archive, (2017)A generic framework for privacy preserving deep learning., , , , , , and . CoRR, (2018)Universally Composable Symbolic Analysis for Two-Party Protocols Based on Homomorphic Encryption., and . EUROCRYPT, volume 8441 of Lecture Notes in Computer Science, page 695-712. Springer, (2014)Resource bound analysis for database queries., and . PLAS, page 67-78. ACM, (2008)On Secure Two-Party Integer Division., , and . Financial Cryptography, volume 7397 of Lecture Notes in Computer Science, page 164-178. Springer, (2012)Prediction of in vitro metabolic stability of calcitriol analogs by QSAR., , , , , , and . J. Comput. Aided Mol. Des., 17 (12): 849-859 (2003)