Aditi Partap (Theory Seminar)

Traceable Verifiable Random Functions

Aditi Partap (Stanford)
Monday, April 14th 2025, 2-3pm

Abstract:

A threshold verifiable random function (threshold VRF) is a VRF where the evaluation key is secret shared among  parties, and a quorum of  parties is needed to evaluate the VRF. Threshold VRFs are used widely in practice in applications such as randomness beacons and deterministic wallets. Despite their long history, the question of accountability for leaking key shares in a threshold VRF has not been studied. Specifically, consider a set of  parties who use their key shares to create an evaluation box  that lets anyone evaluate the VRF at any point in the domain of the VRF. When  is less than the threshold , this box  must also take as input  additional evaluation shares. Our goal is to design a threshold VRF where there is a tracing algorithm that can trace any such box  to the coalition of  parties that created it, using only blackbox access to . The risk of tracing should deter the coalition from selling such a box. Questions in this vein were previously explored in the context of threshold decryption and secret sharing. Here we define and study traceability for a threshold VRF. Our traceable threshold VRF is built from a VRF based on Paillier encryption. The starting point for our tracing algorithm is the tracing technique of Boneh-Partap-Rotem (Crypto 2024) designed for tracing leaks in the context of secret sharing. However, there are multiple technical challenges in making this approach work, and we develop the necessary tools to overcome all these challenges. The end result is a threshold VRF with a provably secure tracing algorithm.