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  • Symphony: Expressive Secure Multiparty Computation with Coordination

    Sweet, I., Darais, D., Heath, D., Harris, W., Estes, R. & Hicks, M., 2023, In: Art, Science, and Engineering of Programming. 7, 3, 14.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • EpiGRAM: Practical Garbled RAM

    Heath, D., Kolesnikov, V. & Ostrovsky, R., 2022, Advances in Cryptology – EUROCRYPT 2022 - 41st Annual International Conference on the Theory and Applications of Cryptographic Techniques, 2022, Proceedings. Dunkelman, O. & Dziembowski, S. (eds.). Springer, p. 3-33 31 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13275 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • EZEE: Epoch Parallel Zero Knowledge for ANSI C

    Yang, Y., Heath, D., Kolesnikov, V. & Devecsery, D., 2022, Proceedings - 7th IEEE European Symposium on Security and Privacy, Euro S and P 2022. Institute of Electrical and Electronics Engineers Inc., p. 109-123 15 p. (Proceedings - 7th IEEE European Symposium on Security and Privacy, Euro S and P 2022).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Garbled Circuits with Sublinear Evaluator

    Haque, A., Heath, D., Kolesnikov, V., Lu, S., Ostrovsky, R. & Shah, A., 2022, Advances in Cryptology – EUROCRYPT 2022 - 41st Annual International Conference on the Theory and Applications of Cryptographic Techniques, 2022, Proceedings. Dunkelman, O. & Dziembowski, S. (eds.). Springer, p. 37-64 28 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13275 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Efficient Generic Arithmetic for KKW: Practical Linear MPC-in-the-Head NIZK on Commodity Hardware Without Trusted Setup

    Heath, D., Kolesnikov, V. & Lu, J., 2021, Cyber Security Cryptography and Machine Learning - 5th International Symposium, CSCML 2021, Proceedings. Dolev, S., Margalit, O., Pinkas, B. & Schwarzmann, A. (eds.). Springer, p. 414-431 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12716 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution