Using Intel SGX to Improve Private Neural Network Training and Inference

Ryan Karl is a 3rd year graduate student in the Department of Computer Science and Engineering at The University of Notre Dame.  He is broadly interested in Theoretic/Applied Cryptography and Computer Security, and focuses on leveraging trusted computing platforms to provide practical solutions to problems in Secure Multiparty Computation and Deep Learning.  He holds a B.S. in Mathematics from Saint Vincent College.

Taeho Jung is an assistant professor of Computer Science and Engineering at the University of Notre Dame. He received the Ph.D. from Illinois Institute of Technology in 2017 and B.E. from Tsinghua University in 2011. His research area includes data security, user privacy, and applied cryptography. His paper has won a best paper award (IEEE IPCCC 2014), and two of his papers were selected as best paper candidate (ACM MobiHoc 2014) and best paper award runner up (BigCom 2015).