Jonathan
Katz
Katz, J., & Sela, B. (2024). A Quantum "Lifting Theorem" for Constructions of Pseudorandom Generators from Random Oracles. ArXiv. Retrieved from https://arxiv.org/abs/2401.14319 (Original work published January 2024)
Alagic, G., Bai, C., Katz, J., Majenz, C., & Struck, P. (2024). Post-quantum Security of Tweakable Even-Mansour, and Applications. In Advances in Cryptology – EUROCRYPT 2024 (pp. 310–338). Springer Nature Switzerland. http://doi.org/10.1007/978-3-031-58716-0_11 (Original work published April 2024)
Kirchenbauer, J., Geiping, J., Wen, Y., Katz, J., Miers, I., & Goldstein, T. (2023). A Watermark for Large Language Models. ArXiv. Retrieved from https://arxiv.org/abs/2301.10226 (Original work published June 2023)
Alagic, G., Bai, C., Katz, J., Majenz, C., & Struck, P. (2022). Post-Quantum Security of the (Tweakable) FX Construction, and Applications. Cryptology EPrint Archive. Retrieved from https://eprint.iacr.org/2022/1097 (Original work published August 2022)
De Viti, R., Sheff, I., Glaeser, N., Dinis, B., Rodrigues, R., Katz, J., … Druschel, P. (2022). CoVault: A Secure Analytics Platform. ArXiv. Retrieved from https://arxiv.org/abs/2208.03784 (Original work published August 2022)
Alagic, G., Bai, C., Katz, J., & Majenz, C. (2022). Post-Quantum Security of the Even-Mansour Cipher. In Advances in Cryptology – EUROCRYPT 2022 (pp. 458–487). Springer International Publishing. http://doi.org/10.1007/978-3-031-07082-2_17 (Original work published May 2022)
Barbosa, M., Barthe, G., Fan, X., Grégoire, B., Hung, S.-H., Katz, J., … Zhou, L. (2021). EasyPQC: Verifying Post-Quantum Cryptography. In ACM CCS 2021. http://doi.org/10.1145/3460120.3484567 (Original work published September 2021)
Lazos, P., Marmolejo-Cossío, F., Zhou, X., & Katz, J. (2021). RPPLNS: Pay-per-last-N-shares with a Randomised Twist. ArXiv. Retrieved from https://arxiv.org/abs/2102.07681 (Original work published February 2021)
Marmolejo-Cossío, F., Brigham, E., Sela, B., & Katz, J. (2019). Competing (Semi)-Selfish Miners in Bitcoin. ArXiv. Retrieved from https://arxiv.org/abs/1906.04502 (Original work published June 2019)
Gupta, N., Katz, J., & Chopra, N. (2019). Statistical Privacy in Distributed Average Consensus on Bounded Real Inputs. ArXiv. Retrieved from https://arxiv.org/abs/1903.09315 (Original work published March 2019)