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Found 4 papers, 3 papers with code
On Statistical Learning of Branch and Bound for Vehicle Routing Optimization
Recently, machine learning of the branch and bound algorithm has shown promise in approximating competent solutions to NP-hard problems.
DeepTaskAPT: Insider APT detection using Task-tree based Deep Learning
To the best of knowledge this is the very first attempt of using recently introduced OpTC dataset for cyber threat detection.
Machine Learning in Precision Medicine to Preserve Privacy via Encryption
Precision medicine is an emerging approach for disease treatment and prevention that delivers personalized care to individual patients by considering their genetic makeups, medical histories, environments, and lifestyles.
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective
In this article, we present our recent systematic and comprehensive survey on the state-of-the-art ML robustness and trustworthiness from a security engineering perspective, focusing on the problems in system threat analysis, design and evaluation faced in developing practical machine learning applications, in terms of robustness and user trust.
