Publications
The lab conducts research at the intersection of cryptography, machine learning and related areas in theoretical computer science, aiming to develop new cryptographic tools for machine learning applications and to advance provable trust in AI.
Last updated: July 22, 2026.
Author names are sorted alphabetically.
- C. Chen, Y. Ishai, A. Jain, T. Mour, A. Rosen, and C. Xing, “Doubly-Efficient Secret-Key PIR with Low Storage Overhead”, to appear in the 48th IEEE Symposium on Security and Privacy, 2027. [pdf]
- C. Chen, Y. Ishai, T. Mour, A. Rosen, “Secret-Key PIR from Random Linear Codes,” in Proceedings of the 58th Annual ACM Symposium on Theory of Computing (STOC 2026). [pdf]