Evan Laufer

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs

In principle, explanations are intended as a way to increase trust in machine learning models and are often obligated by regulations. However, many circumstances where these are demanded are adversarial in nature, meaning the involved parties have misaligned interests and are incentivized to manipul…