Научно-технический вебинар «Hardness of Learning AES with Gradient-Based Methods»

27 февраля 2024, 18:00 MCK

О вебинаре

  • Спикер

    Женисбек Ассылбеков, Assistant Professor of Data Science, Purdue University Fort Wayne.

  • Тема

    Научно-технический вебинар «Hardness of Learning AES with Gradient-Based Methods»

  • Подробнее про вебинар

    Спикер о вебинаре:
    We show the approximate pairwise orthogonality of a class of functions formed by a single AES output bit under the assumption that all of its round keys except the initial one are independent. This result implies the hardness of learning AES encryption (and decryption) with gradient-based methods. The proof relies on the Boas-Bellman type of inequality in inner-product spaces.

    Презентация: https://drive.google.com/file/d/1RgWI1LIBoPqFS-Zu1a8xOXUeR1Ei1nXU/

    Видеозапись: https://youtu.be/QBizdzGzFhk