Detect, Explore and Neutralize NEW threats using advanced Machine Learning
Abstract
Prof. Richard Xu of the University of Technology Sydney proposes to conduct a research project titled ~Detect, Explore and Neutralize NEW threats using advanced Machine Learning~ using ONRG~s research grant funding. This project tries to develop machine learning (ML)-based methods to: (i) detect outliers that are not present in the training set (such as new military threats) through metric learning; (ii) interrogate the outliers (such as to explore the capabilities of the new threats) through reinforced learning (RL); and (iii) neutralize the threats using the Generative Adversarial Networks (GAN) approach. The proposed approaches are novel in terms of the technical difficulties and context of their application, while individual techniques that comprise the approaches are based on the types of ML techniques that are rapidly advancing. The proposal makes it apparent that Prof. Xu and his team have given considerable thoughts to the use of metric learning, RL, and GAN in the detection of outliers, and have come up with feasible ideas on how they plan to overcome the challenges associated with these techniques. If successful, this project will make a profound contribution to the basic science of the detection and identification of data outliers. There is a direct application in real-time strategy games (RTS). At the same time, if successful, the results will form the bases for DON~s ability to detect, interrogate and neutralize novel threats in operational scenarios. Prof. Xu is a very productive and well-regarded ML researcher with a large number of highly-cited papers in the relevant topics (https://scholar.google.com.au/citations?hl=en&user=ykOUWa4AAAAJ&view_op=list_works&sortby=pubdate), large and productive research team at the University of Technology Sydney, and active contribution to the ML research community (https://github.com/roboticcam). Adding Prof. Xu to the NRE network of collaborators will benefit NRE by enabling NRE to participate in the S&T innovation processes that occur deep within the Australian ML research community.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 26, 2019
- Source ID
- N629091912141
Entities
People
- Richard Xu
Organizations
- Office of Naval Research
- United States Navy
- University of Technology Sydney