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Ilan Komargodski

 https://orcid.org/0000-0002-1647-2112
    Calculated based on number of publications stored in Pure and citations from Scopus
    20132023

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    • Decentralized Multi-authority ABE for NC1 from BDH

      Datta, P., Komargodski, I. & Waters, B., Apr 2023, In: Journal of Cryptology. 36, 2, p. 1-31 31 p., 6.

      Research output: Contribution to journal › Article › peer-review

      1 Scopus citations

    • Fully Adaptive Decentralized Multi-Authority ABE

      Datta, P., Komargodski, I. & Waters, B., 2023, Advances in Cryptology – EUROCRYPT 2023 - 42nd Annual International Conference on the Theory and Applications of Cryptographic Techniques, 2023, Proceedings. Hazay, C. & Stam, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 447-478 32 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14006 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Maliciously-Secure MrNISC in the Plain Model

      Fernando, R., Jain, A. & Komargodski, I., 2023, Advances in Cryptology – EUROCRYPT 2023 - 42nd Annual International Conference on the Theory and Applications of Cryptographic Techniques, 2023, Proceedings. Hazay, C. & Stam, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 98-128 31 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14005 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Oblivious RAM with Worst-Case Logarithmic Overhead

      Asharov, G., Komargodski, I., Lin, W. K. & Shi, E., Apr 2023, In: Journal of Cryptology. 36, 2, p. 1-42 42 p., 7.

      Research output: Contribution to journal › Article › peer-review

    • On Distributed Randomness Generation in Blockchains

      Komargodski, I. & Tamir, Y., 2023, Cyber Security, Cryptology, and Machine Learning - 7th International Symposium, CSCML 2023, Proceedings. Dolev, S., Gudes, E. & Paillier, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 49-64 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13914 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    View all 73 Research outputs