Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization

1 code implementation • 16 Oct 2022 • Jonathan Wilton, Abigail M. Y. Koay, Ryan K. L. Ko, Miao Xu, Nan Ye

Key to our approach is a new interpretation of decision tree algorithms for positive and negative data as \emph{recursive greedy risk minimization algorithms}.

Feature Importance Weakly Supervised Classification

Pandora: A Cyber Range Environment for the Safe Testing and Deployment of Autonomous Cyber Attack Tools

no code implementations • 24 Sep 2020 • Hetong Jiang, Taejun Choi, Ryan K. L. Ko

In other words, there is still room for a novel cyber range design which allow security researchers to safely deploy autonomous tools and perform automated tool testing if needed.

Deep Learning Inferences with Hybrid Homomorphic Encryption

no code implementations • ICLR 2018 • Anthony Meehan, Ryan K. L. Ko, Geoff Holmes

When deep learning is applied to sensitive data sets, many privacy-related implementation issues arise.

Privacy Preserving Representation Learning