5 citations · 6 across the 3 of their papers we have counts for
3 papers
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics
Jia-Qi Yang, Yucheng Xu, Jia-Lei Shen +3
Aiding humans with scientific designs is one of the most exciting of artificial intelligence (AI) and machine learning (ML), due to their potential for the discovery of new drugs,…
Privacy-Preserving Training of Tree Ensembles over Continuous Data
Samuel Adams, Chaitali Choudhary, Martine De Cock +5
Most existing Secure Multi-Party Computation (MPC) protocols for privacy-preserving training of decision trees over distributed data assume that the features are categorical. In re…
High Performance Logistic Regression for Privacy-Preserving Genome Analysis
Martine De Cock, Rafael Dowsley, Anderson C. A. Nascimento +3
In this paper, we present a secure logistic regression training protocol and its implementation, with a new subprotocol to securely compute the activation function. To the best of…