Sandamal is a researcher in the adversarial machine learning group at the School of Computing and Information Systems, University of Melbourne. His research interests include adversarial machine learning, anomaly detection, and game theory.
Find out more about Sandamal Weerasinghe's experience
Sandamal Weerasinghe's highlights
FEATURED Conference Proceedings
Detection of Anomalous Communications with SDRs and Unsupervised Adversarial Learning
Read moreSandamal Weerasinghe's selected work
Unsupervised Adversarial Anomaly Detection using One-Class Support Vector Machines
Conference Proceedings
Deep Learning Based Game-Theoretical Approach to Evade Jamming Attacks
Conference Proceedings
Machine learning for understanding the contextual semantics of tabular web sources
Conference Proceedings
Sandamal Weerasinghe's selected work
Scholarly Works
Displaying the 4 most recent scholarly works by Sandamal Weerasinghe.
Credentials
Positions
Positions
Research Fellow In Adversarial Machine Learning
Computing And Information Systems
Education
Education
Bachelor of Science
University of Melbourne