Christopher Leckie

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

Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie

Journal article  |  2021  |  INFORMATION PROCESSING & MANAGEMENT

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

Shape-Sphere: A metric space for analysing time series by their shape

Yousef Kowsar, Masud Moshtaghi, Eduardo Velloso, James C Bezdek, Lars Kulik, Christopher Leckie

Journal article  |  2021  |  Information Sciences

Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning

Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M Erfani, Christopher Leckie, Benjamin IP Rubinstein

Conference Proceedings  |  2021  |  Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Nonlinear regression, although widely used in engineering, financial and security applications for automated decision making, is k..

Privacy-Preserving Collaborative SDR Networks for Anomaly Detection

Marc Katzef, Andrew C Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz

Conference Proceedings  |  2021  |  ICC 2021 - IEEE International Conference on Communications

Continual Learning for Fake News Detection from Social Media

Yi Han, Shanika Karunasekera, Christopher Leckie

Book Chapter  |  2021  |  Lecture Notes in Computer Science

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..

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..

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..