Abstract:
A dot-product proof is a simple probabilistic proof system in which the verifier decides whether to accept an input vector based on a single linear combination of the entries of the input and a proof vector. In this talk, I will present constructions of linear-size dot-product proofs for circuit satisfiability and discuss two kinds of applications: basing the exponential-time hardness of approximating MAX-LIN (maximal number of linear equations that can be simultaneously satisfied) on the standard exponential-time hypothesis, and minimizing the verification complexity of cryptographic proof systems.
[Joint work with Nir Bitansky, Yuval Ishai, Ron Rothblum, and David Wu]