Nicolás Berrios

Black-Box Privacy Attacks on Shared Representations in Multitask Learning

The proliferation of diverse data across users and organizations has driven the development of machine learning methods that enable multiple entities to jointly train models while minimizing data sharing. Among these, *multitask learning* (MTL) is a powerful paradigm that leverages similarities amon…