CryptoDB
Ruben Baecker
Publications and invited talks
Year
Venue
Title
2025
CRYPTO
A Fully-Adaptive Threshold Partially-Oblivious PRF
Abstract
Oblivious Pseudorandom Functions (OPRFs) are fundamental cryptographic primitives essential for privacy-enhancing technologies such as private set intersection, oblivious keyword search, and password-based authentication protocols. We present the first fully adaptive, partially oblivious threshold pseudorandom function that supports proactive key refresh and provides composable security under the One-More Gap Diffie-Hellman assumption in the random oracle model.
Our construction is secure with respect to a new ideal functionality for OPRFs that addresses three critical shortcomings of previous models--specifically, key refresh and non-verifiability issues that rendered them unrealizable. In addition, we identify a gap in a prior work's proof of partial obliviousness and develop a novel proof technique to salvage their scheme.
Coauthors
- Ruben Baecker (1)
- Paul Gerhart (1)
- Daniel Rausch (1)
- Dominique Schröder (1)