Speaker: Vitaly Shmatikov, Visiting Scholar at Cornell NYC Tech
Title: Privacy-preserving Deep Learning
Abstract: Deep learning based on artificial neural networks is a very popular approach to modeling, classifying, and recognizing complex data such as images, speech, and text. The unprecedented accuracy of deep learning methods has turned them into the foundation of new AI-based services on the Internet. Commercial companies that collect user data on a large scale have been the main beneficiaries since the success of Read more about Vitaly Shmatikov: "Privacy-preserving Deep Learning"
Reverse AGT Workshop: "Competition in Selection Markets"
About this series: At the Reverse AGT Workshop local economists will present an area of economic study for an algorithmic game theory (AGT) audience. The presentations will include a brief introduction to the area and several current research topics. The schedule includes ample time for discussion to make connections to related research in AGT and to highlight research questions that methods from AGT might help to answer. Read more about Reverse AGT Workshop: Competition in Selection Markets