Christopher Leckie

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 192

Top Venues

Publications

Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences. CoRR (2024)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning. CoRR (2024)
Zainab Zaidi, Tansu Alpcan, Christopher Leckie, Sarah Efrain
An Interpretable Low-complexity Model for Wireless Channel Estimation. CoRR (2024)
Maxwell T. West, Shu Lok Tsang, Jia Shun Low, Charles D. Hill, Christopher Leckie, Lloyd C. L. Hollenberg, Sarah M. Erfani, Muhammad Usman
Towards quantum enhanced adversarial robustness in machine learning. CoRR (2023)
Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz
Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks. CoRR (2023)
Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
Online Trajectory Anomaly Detection Based on Intention Orientation. IJCNN (2023)
Vincent Barbosa Vaz, James Bailey, Christopher Leckie, Peter J. Stuckey
Predict-Then-Optimise Strategies for Water Flow Control (Short Paper). CP (2023)
Vincenzo Bassi, Luis F. Ochoa, Tansu Alpcan, Christopher Leckie
Electrical Model-Free Voltage Calculations Using Neural Networks and Smart Meter Data. IEEE Trans. Smart Grid 14 (4) (2023)
Maxwell T. West, Shu Lok Tsang, Jia Shun Low, Charles D. Hill, Christopher Leckie, Lloyd C. L. Hollenberg, Sarah M. Erfani, Muhammad Usman
Towards quantum enhanced adversarial robustness in machine learning. Nat. Mac. Intell. 5 (6) (2023)
Dominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie
It's PageRank All The Way Down: Simplifying Deep Graph Networks. SDM (2023)
Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan, Lei Pan
EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs. ADMA (3) (2023)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models. CoRR (2023)
Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie
Robust Wireless Network Anomaly Detection with Collaborative Adversarial Autoencoders. ICC (2023)
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. AAAI (2023)
Rahul Sharma, Chien Aun Chan, Christopher Leckie
Probabilistic Distributed Intrusion Detection For Zero-Trust Multi-Access Edge Computing. NOMS (2023)
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals. CoRR (2023)
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
Open-Set Graph Anomaly Detection via Normal Structure Regularisation. CoRR (2023)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
Adversarial Coreset Selection for Efficient Robust Training. Int. J. Comput. Vis. 131 (12) (2023)
Zixin Ye, Tansu Alpcan, Christopher Leckie
A Group Formation Game for Local Anomaly Detection. CDC (2023)
Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan
Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection. NSS (2022)
Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie
Generative Adversarial Networks for anomaly detection on decentralised data. Annu. Rev. Control. 53 (2022)
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels. AAAI (2022)
Maxwell T. West, Sarah M. Erfani, Christopher Leckie, Martin Sevior, Lloyd C. L. Hollenberg, Muhammad Usman
Benchmarking Adversarially Robust Quantum Machine Learning at Scale. CoRR (2022)
Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CDC (2022)
Yousef Kowsar, Masud Moshtaghi, Eduardo Velloso, James C. Bezdek, Lars Kulik, Christopher Leckie
Shape-Sphere: A metric space for analysing time series by their shape. Inf. Sci. 582 (2022)
Laurence A. F. Park, Mohadeseh Ganji, Emir Demirovic, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Rao Kotagiri
Modelling Zeros in Blockmodelling. PAKDD (2) (2022)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
COLLIDER: A Robust Training Framework for Backdoor Data. CoRR (2022)
Rahul Sharma, Chien Aun Chan, Christopher Leckie
Hybrid Collaborative Architectures For Intrusion Detection In Multi-Access Edge Computing. NOMS (2022)
Xuyun Zhang, Lianyong Qi, Wanchun Dou, Qiang He, Christopher Leckie, Ramamohanarao Kotagiri, Zoran Salcic
MRMondrian: Scalable Multidimensional Anonymisation for Big Data Privacy Preservation. IEEE Trans. Big Data 8 (1) (2022)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
Adversarial Coreset Selection for Efficient Robust Training. CoRR (2022)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
-Robustness and Beyond: Unleashing Efficient Adversarial Training. ECCV (11) (2022)
Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey
MurTree: Optimal Decision Trees via Dynamic Programming and Search. J. Mach. Learn. Res. 23 (2022)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
COLLIDER: A Robust Training Framework for Backdoor Data. ACCV (6) (2022)
Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz
Wireless Network Simulation to Create Machine Learning Benchmark Data. GLOBECOM (2022)
Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey
A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems. AAAI (2022)
Yousef Kowsar, Masud Moshtaghi, Eduardo Velloso, Christopher Leckie, Lars Kulik
An Online Unsupervised Dynamic Window Method to Track Repeating Patterns From Sensor Data. IEEE Trans. Cybern. 52 (6) (2022)
Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie
Multi-attention graph neural networks for city-wide bus travel time estimation using limited data. Expert Syst. Appl. 202 (2022)
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment. CoRR (2022)
Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray L. Buntine, Christopher Leckie
ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection. PAKDD (2) (2022)
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. AAAI (2021)
Yi Han, Shanika Karunasekera, Christopher Leckie
Continual Learning for Fake News Detection from Social Media. ICANN (2) (2021)
Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CoRR (2021)
Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein
Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning. IJCAI (2021)
Qizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle
A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. SDM (2021)
Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz
Privacy-Preserving Collaborative SDR Networks for Anomaly Detection. ICC (2021)
Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie
Defending Support Vector Machines Against Data Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie
Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection. Inf. Process. Manag. 58 (5) (2021)
Yi Han, Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
Knowledge Enhanced Multi-modal Fake News Detection. CoRR (2021)
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. CoRR (2021)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
-Robustness and Beyond: Unleashing Efficient Adversarial Training. CoRR (2021)
Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie
Scalable Contrast Pattern Mining over Data Streams. CIKM (2021)
Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie
Mining Rare Recurring Events in Network Traffic using Second Order Contrast Patterns. IJCNN (2021)
Yi Han, Shanika Karunasekera, Christopher Leckie
Image Analysis Enhanced Event Detection from Geo-tagged Tweet Streams. CoRR (2020)
Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz
Distributed Generative Adversarial Networks for Anomaly Detection. GameSec (2020)
Rahul Sharma, Chien Aun Chan, Christopher Leckie
Evaluation of Centralised vs Distributed Collaborative Intrusion Detection Systems in Multi-Access Edge Computing. Networking (2020)
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
OMBA: User-Guided Product Representations for Online Market Basket Analysis. CoRR (2020)
Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. CIKM (2020)
Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie
Embedding Partial Propagation Network for Fake News Early Detection. CIKM (Workshops) (2020)
Yi Han, Shanika Karunasekera, Christopher Leckie
Image Analysis Enhanced Event Detection from Geo-Tagged Tweet Streams. PAKDD (1) (2020)
Zahra Ghafoori, Sarah M. Erfani, James C. Bezdek, Shanika Karunasekera, Christopher Leckie
LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection. IEEE Trans. Knowl. Data Eng. 32 (4) (2020)
Rishabh Ramteke, Peter J. Stuckey, Jeffrey Chan, Kotagiri Ramamohanarao, James Bailey, Christopher Leckie, Emir Demirovic
Improving Single and Multi-View Blockmodelling by Algebraic Simplification. IJCNN (2020)
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
OMBA: User-Guided Product Representations for Online Market Basket Analysis. ECML/PKDD (1) (2020)
Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows. NeurIPS (2020)
Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie
Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks. IJCNN (2020)
Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Xingjun Ma
Exploiting patterns to explain individual predictions. Knowl. Inf. Syst. 62 (3) (2020)
Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey
MurTree: Optimal Classification Trees via Dynamic Programming and Search. CoRR (2020)
Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan
Dynamic Programming for Predict+Optimise. AAAI (2020)
Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie
Invertible Generative Modeling using Linear Rational Splines. CoRR (2020)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows. CoRR (2020)
Yi Han, Shanika Karunasekera, Christopher Leckie
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media. CoRR (2020)
Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. IJCNN (2020)
Zahra Ghafoori, Christopher Leckie
Deep Multi-sphere Support Vector Data Description. SDM (2020)
Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. CoRR (2020)
Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie
Defending Distributed Classifiers Against Data Poisoning Attacks. CoRR (2020)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
Black-box Adversarial Example Generation with Normalizing Flows. CoRR (2020)
Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey
Divide and Learn: A Divide and Conquer Approach for Predict+Optimize. CoRR (2020)
Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie
Invertible Generative Modeling using Linear Rational Splines. AISTATS (2020)
Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie
Improving Scalability of Contrast Pattern Mining for Network Traffic Using Closed Patterns. CoRR (2020)
Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Justin Kopacz
Defending Regression Learners Against Poisoning Attacks. CoRR (2020)
Masoomeh Zameni, Amin Sadri, Zahra Ghafoori, Masud Moshtaghi, Flora D. Salim, Christopher Leckie, Kotagiri Ramamohanarao
Unsupervised online change point detection in high-dimensional time series. Knowl. Inf. Syst. 62 (2) (2020)
Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie
Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction. ICDM (2020)
Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. IEEE BigData (2019)
Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, James Bailey
Online cluster validity indices for performance monitoring of streaming data clustering. Int. J. Intell. Syst. 34 (4) (2019)
Jiaojiao Jiang, Steve Versteeg, Jun Han, Md. Arafat Hossain, Jean-Guy Schneider, Christopher Leckie, Zeinab Farahmandpour
P-Gram: Positional N-Gram for the Clustering of Machine-Generated Messages. IEEE Access 7 (2019)
Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
Support vector machines resilient against training data integrity attacks. Pattern Recognit. 96 (2019)
Kwan Hui Lim, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie
Tour recommendation and trip planning using location-based social media: a survey. Knowl. Inf. Syst. 60 (3) (2019)
Chien Aun Chan, Ming Yan, André F. Gygax, Wenwen Li, Li Li, Chih-Lin I, Jinyao Yan, Christopher Leckie
Big Data Driven Predictive Caching at the Wireless Edge. ICC Workshops (2019)
Meng Yang, Sutharshan Rajasegarar, Sarah M. Erfani, Christopher Leckie
Deep Learning and One-class SVM based Anomalous Crowd Detection. IJCNN (2019)
Fateme Fahiman, Sarah M. Erfani, Christopher Leckie
Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach. IJCNN (2019)
Zhanghan Tang, Margreta Kuijper, Michelle S. Chong, Iven Mareels, Christopher Leckie
Linear system security - Detection and correction of adversarial sensor attacks in the noise-free case. Autom. 101 (2019)
Punit Rathore, Zahra Ghafoori, James C. Bezdek, Marimuthu Palaniswami, Christopher Leckie
Approximating Dunn's Cluster Validity Indices for Partitions of Big Data. IEEE Trans. Cybern. 49 (5) (2019)
Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking. CoRR (2019)
Jia Shun Low, Zahra Ghafoori, Christopher Leckie
Online K-Means Clustering with Lightweight Coresets. Australasian Conference on Artificial Intelligence (2019)
Yousef Kowsar, Eduardo Velloso, Lars Kulik, Christopher Leckie
LiftSmart: a monitoring and warning wearable for weight trainers. UbiComp/ISWC Adjunct (2019)
Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle
Improving the Quality of Explanations with Local Embedding Perturbations. KDD (2019)
Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie
Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks. CIKM (2019)
Yi Han, Shanika Karunasekera, Christopher Leckie, Aaron Harwood
Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification. IEEE BigData (2019)
Jia Shun Low, Zahra Ghafoori, James C. Bezdek, Christopher Leckie
Seeding on Samples for Accelerating K-Means Clustering. BDIOT (2019)
Li Li, Chien Aun Chan, Sarah M. Erfani, Christopher Leckie
Adaptive Edge Caching based on Popularity and Prediction for Mobile Networks. IJCNN (2019)
Masoomeh Zameni, Zahra Ghafoori, Amin Sadri, Christopher Leckie, Kotagiri Ramamohanarao
Change Point Detection for Streaming High-Dimensional Time Series. DASFAA (3) (2019)

Christopher Leckie.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Christopher Leckie