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Helen: Maliciously Secure Coopetitive Learning for Linear Models., , , and . IEEE Symposium on Security and Privacy, page 724-738. IEEE, (2019)Delphi: A Cryptographic Inference Service for Neural Networks., , , , and . USENIX Security Symposium, page 2505-2522. USENIX Association, (2020)MiniCrypt: Reconciling Encryption and Compression for Big Data Stores., , , , and . EuroSys, page 191-204. ACM, (2017)Multi-resolution terrain rendering using summed-area tables ., , , , , , and . Comput. Graph., (2021)BOLT: Privacy-Preserving, Accurate and Efficient Inference for Transformers., , , , and . SP, page 4753-4771. IEEE, (2024)RankBrushers: interactive analysis of temporal ranking ensembles., , , , , , and . J. Vis., 22 (6): 1241-1255 (2019)CostCO: An automatic cost modeling framework for secure multi-party computation., , , , , and . EuroS&P, page 140-153. IEEE, (2022)Cerebro: A Platform for Multi-Party Cryptographic Collaborative Learning., , , , , and . USENIX Security Symposium, page 2723-2740. USENIX Association, (2021)Silph: A Framework for Scalable and Accurate Generation of Hybrid MPC Protocols., , , , , and . SP, page 848-863. IEEE, (2023)Secure Federated Correlation Test and Entropy Estimation., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 26990-27010. PMLR, (2023)