Christopher Leckie

System and Process for Managing Network Traffic

T PENG, C LECKIE, R KOTAGIRI

Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection

A Silva, Y Han, L Luo, S Karunasekera, C Leckie

Journal article  |  2021  |  Information Processing and Management

Many recent studies have demonstrated that the propagation patterns of news on social media can facilitate the detection of fake n..

Defending Support Vector Machines Against Data Poisoning Attacks

Sandamal Weerasinghe, Tansu Alpcan, Sarah M Erfani, Christopher Leckie

Journal article  |  2021  |  IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY

Support Vector Machines (SVMs) are vulnerable to targeted training data manipulations such as poisoning attacks and label flips. B..

An Online Unsupervised Dynamic Window Method to Track Repeating Patterns From Sensor Data.

Yousef Kowsar, Masud Moshtaghi, Eduardo Velloso, Christopher Leckie, Lars Kulik

Journal article  |  2020  |  IEEE Trans Cybern

Short bursts of repeating patterns [intervals of recurrence (IoR)] manifest themselves in many applications, such as in the time-s..

METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams

A Silva, S Karunasekera, C Leckie, L Luo

Conference Proceedings  |  2020  |  CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management

Many learning tasks involve multi-modal data streams, where continuous data from different modes convey a comprehensive descriptio..

Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks

Li Li, Sarah Erfani, Chien Aun Chan, Christopher Leckie

Conference Proceedings  |  2020  |  Proceedings of the International Joint Conference on Neural Networks

In 5G networks, the deployment and management of mobile edge computing infrastructure is a major challenge for mobile operators. M..

Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence

Yi Han, David Hubczenko, Paul Montague, Olivier De Vel, Tamas Abraham, Benjamin IP Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah Erfani

Conference Proceedings  |  2020  |  Proceedings of the International Joint Conference on Neural Networks

Recent studies have demonstrated that reinforcement learning (RL) agents are susceptible to adversarial manipulation, similar to v..

Improving Single and Multi-View Blockmodelling by Algebraic Simplification

R Ramteke, PJ Stuckey, J Chan, K Ramamohanarao, J Bailey, C Leckie, E Demirovic

Conference Proceedings  |  2020  |  Proceedings of the International Joint Conference on Neural Networks

Blockmodelling is an important technique in social network analysis for discovering the latent structures and groupings in graphs...

LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection

Zahra Ghafoori, Sarah M Erfani, James C Bezdek, Shanika Karunasekera, Christopher Leckie

Journal article  |  2020  |  IEEE Transactions on Knowledge and Data Engineering

We present a new unsupervised dimensionality reduction technique, called LN-SNE, for anomaly detection. LN-SNE generates a paramet..

Exploiting patterns to explain individual predictions

Y Jia, J Bailey, K Ramamohanarao, C Leckie, X Ma

Journal article  |  2020  |  Knowledge and Information Systems

Users need to understand the predictions of a classifier, especially when decisions based on the predictions can have severe conse..

Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification

Y Han, S Karunasekera, C Leckie, A Harwood

Conference Proceedings  |  2020  |  Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019

Compared with traditional news media, social media nowadays provides a richer and more timely source of news. We are interested in..