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Mr

Sandamal Weerasinghe

Research Fellow In Adversarial Machine Learning
Computing And Information Systems
adversarial machine learning
anomaly detection
adversarial learning
machine learning
unsupervised learning
game theory
computer science, theory & methods
computer science
jamming
Sandamal Weerasinghe's Profile Picture
Mr

Sandamal Weerasinghe

 
Division
Engineering
 
Primary Interest
Knowledge Representation and Machine Learning
Sandamal Weerasinghe's Profile Picture
Mr

Sandamal Weerasinghe

 

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.

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Sandamal Weerasinghe's highlights

Scholarly Works

Displaying the 4 most recent scholarly works by Sandamal Weerasinghe.

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Detection of Anomalous Communications with SDRs and Unsupervised Adversarial Learning

S Weerasinghe, SM Erfani, T Alpcan, C Leckie, J Riddle

Conference Proceedings  |  2019  |  2018 IEEE 43rd Conference on Local Computer Networks (LCN)

Software-defined radios (SDRs) with substantial cognitive (computing) and networking capabilities provide an opportunity for obser..

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Unsupervised Adversarial Anomaly Detection using One-Class Support Vector Machines

T Alpcan, Prameesha Weerasinghe, Margreta Kuijper, Sarah Monazam Erfani, Christopher Leckie

Conference Proceedings  |  2018

Anomaly detection discovers regular patterns in unlabeled data and identifies the non-conforming data points, which in some cases ..

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Deep Learning Based Game-Theoretical Approach to Evade Jamming Attacks

Sandamal Weerasinghe, Tansu Alpcan, Sarah M Erfani, Christopher Leckie, Peyam Pourbeik, Jack Riddle

Conference Proceedings  |  2018  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Machine learning for understanding the contextual semantics of tabular web sources

J Weerasinghe, S Weerasinghe, A Panditha, V Weerasinghe

Conference Proceedings  |  2013  |  2013 IEEE 8th International Conference on Industrial and Information Systems

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Scholarly Works

Keyword Analysis

Expanding Knowledge
Applied Mathematics
Artificial Intelligence and Image Processing
Cognitive Sciences
Communication Networks and Services
Computer Software and Services
Electrical and Electronic Engineering

Credentials

Positions

Research Fellow In Adversarial Machine Learning

Computing And Information Systems

Education

Bachelor of Science

University of Melbourne

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