PPML 2020 Session I: Welcome and invited talk and Session II - Contributed Talks
Split Learning: Benefits of API style distributed private machine learning among untrusted parties for low power or asynchronous training and inference, Presentation by Ramesh Raskar (MIT) at PPML 2020 (Privacy Preserving Machine Learning). Affiliated Event at Crypto 2020.
Session II: Contributed Talks
CrypTFlow2: Practical 2-Party Secure Inference, by Deevashwer Rathee Mayank Rathee Nishant Kumar Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma
Fairness in the Eyes of the Data: Certifying Machine-Learning Models, by Shahar Segal Yossi Adi Benny Pinkas Carsten Baum Chaya Ganesh Joseph Keshet
Crypto-Oriented Neural Architecture Design, by Avital Shafran Gil Segev Shmuel Peleg Yedid Hoshen
Privacy-Preserving Decision Tree Training and Prediction, by Adi Akavia Max Leibovich Yehezkel S. Resheff Roey Ron Moni Shahar Margarita Vald