2 papers
cs.CR2026
Can we Watermark Low-Entropy LLM Outputs?
Noam Mazor, Andrew Morgan, Rafael Pass
A recent and exciting thread of work focuses on developing methods for watermarking the output of large language models (LLMs). We focus on provably undetectable watermarking-that…
cs.CR2025
Computationally Differentially Private Inner Product Protocols Imply Oblivious Transfer
Iftach Haitner, Noam Mazor, Jad Silbak +2
In distributed differential privacy, multiple parties collaborate to analyze their combined data while each party protects the confidentiality of its data from the others. Interest…