Session Title | Achieving More by Knowing Less: Decentralized Infrastructures and Secure Multiparty Computing Protocols
"Secure Multiparty Computing (MPC) Protocols allow different parties to jointly compute functions on their private data and only learn about the joint output. Since their introduction in the 80's, they have developed significantly and are being adapted to many worldwide applications.
In this tutorial, we are going to learn about the security definitions of MPC in different settings and learn about example protocols and the recent advances in the engineering and deployment of these protocols."
"Islam Faisal is a PhD student in computer science at Boston University. His main research interests are in cryptography and intersecting topics from number theory, quantum computing, complexity theory, security, and privacy.
In June 2019, he graduated with a BSc summa cum laude (Highest Honors) from the American University in Cairo (AUC) where he double majored in mathematics and computer engineering and was the recipient of the Ahmed H. Zewail Medal for Excellence in the Sciences and Humanities.
Previously, he interned 3 times at Twitter as a software engineering intern. In fall 2018, he was a visiting project student at the Decentralized and Distributed Systems (DEDIS) Lab led by Prof. Bryan Ford at the École polytechnique fédérale de Lausanne (EPFL) to do his graduation project. Prior to that, he visited UCLA’s Institute for Pure and Applied Mathematics (IPAM) as part of a summer program in 2017. He interned with Microsoft Research in Cairo in summer 2015 and worked with Affectiva (an MIT spin-off startup) in 2017 to build their first multi-class speech emotion recognition classifier."