| 2026 | ACL | IntroLM: Introspective Language Models via Prefilling-Time Self-Evaluation. | Hossein Hosseini Kasnavieh, Gholamreza Haffari, Christopher Leckie, Adel Nadjaran Toosi |
| 2026 | ICDE | CoLSE: A Lightweight and Robust Hybrid Learned Model for Single-Table Cardinality Estimation Using Joint CDF. | Lankadinee Rathuwadu, Guanli Liu, Christopher Leckie, Renata Borovica-Gajic |
| 2026 | WWW | HierCon: Hierarchical Contrastive Attention for Audio Deepfake Detection. | Zhili Nicholas Liang, Soyeon Caren Han, Qizhou Wang, Christopher Leckie |
| 2025 | CIKM | SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic Segmentation. | Nimeshika Udayangani, Sarah M. Erfani, Christopher Leckie |
| 2025 | ICLR | Open-Set Graph Anomaly Detection via Normal Structure Regularisation. | Qizhou Wang, Guansong Pang, Mahsa Salehi, Xiaokun Xia, Christopher Leckie |
| 2025 | ICWSM | Using Causality to Infer Coordinated Attacks in Social Media. | Isura Manchanayaka, Zainab Razia Zaidi, Shanika Karunasekera, Christopher Leckie |
| 2025 | PAKDD | S-CPD: Topological Smoothing-Based Change Point Detection. | Harindu Sugathadasa, Sarah Monazam Erfani, Christopher Leckie |
| 2025 | PAKDD | Round Trip Translation Defence Against Large Language Model Jailbreaking Attacks. | Canaan Yung, Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie |
| 2025 | WACV | Exploiting Inter-Sample Information for Long-Tailed Out-of-Distribution Detection. | Nimeshika Udayangani, Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie |
| 2024 | CCGRID | Intelligent Data Source Emission Rate Control for Optimising the Performance of Streaming Applications. | Ziren Xiao, Christopher Leckie, Maria A. Rodriguez |
| 2024 | ECAI | Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning. | Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie |
| 2024 | ECAI | DeCoRTAD: Diffusion Based Conditional Representation Learning for Online Trajectory Anomaly Detection. | Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie |
| 2024 | ICPR | ConDGAD: Multi-augmentation Contrastive Learning for Dynamic Graph Anomaly Detection. | Siqi Xia, Sutharshan Rajasegarar, Lei Pan, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan |
| 2024 | IJCNN | Identifying Coordinated Activities on Online Social Networks Using Contrast Pattern Mining. | Isura Manchanayaka, Zainab R. Zaidi, Shanika Karunasekera, Christopher Leckie |
| 2023 | AAAI | Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. | Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie |
| 2023 | ADMA | EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs. | Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan, Lei Pan |
| 2023 | CP | Predict-Then-Optimise Strategies for Water Flow Control (Short Paper). | Vincent Barbosa Vaz, James Bailey, Christopher Leckie, Peter J. Stuckey |
| 2023 | IJCNN | Online Trajectory Anomaly Detection Based on Intention Orientation. | Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie |
| 2023 | NOMS | Probabilistic Distributed Intrusion Detection For Zero-Trust Multi-Access Edge Computing. | Rahul Sharma, Chien Aun Chan, Christopher Leckie |
| 2023 | SDM | It's PageRank All The Way Down: Simplifying Deep Graph Networks. | Dominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie |
| 2022 | AAAI | A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems. | Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey |
| 2022 | AAAI | Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels. | Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie |
| 2022 | ACCV | COLLIDER: A Robust Training Framework for Backdoor Data. | Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie |
| 2022 | ECCV | ℓ | Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie |
| 2022 | GLOBECOM | Wireless Network Simulation to Create Machine Learning Benchmark Data. | Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz |
| 2022 | NOMS | Hybrid Collaborative Architectures For Intrusion Detection In Multi-Access Edge Computing. | Rahul Sharma, Chien Aun Chan, Christopher Leckie |
| 2022 | NSS | Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection. | Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan |
| 2022 | PAKDD | Modelling Zeros in Blockmodelling. | Laurence A. F. Park, Mohadeseh Ganji, Emir Demirovic, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Rao Kotagiri |
| 2022 | PAKDD | ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection. | Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray L. Buntine, Christopher Leckie |
| 2021 | AAAI | Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. | Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie |
| 2021 | CIKM | Scalable Contrast Pattern Mining over Data Streams. | Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie |
| 2021 | ICANN | Continual Learning for Fake News Detection from Social Media. | Yi Han, Shanika Karunasekera, Christopher Leckie |
| 2021 | IJCAI | 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 I. P. Rubinstein |
| 2021 | IJCNN | Mining Rare Recurring Events in Network Traffic using Second Order Contrast Patterns. | Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie |
| 2021 | SDM | A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. | Qizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle |
| 2020 | AAAI | Dynamic Programming for Predict+Optimise. | Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan |
| 2020 | AISTATS | Invertible Generative Modeling using Linear Rational Splines. | Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie |
| 2020 | CIKM | Embedding Partial Propagation Network for Fake News Early Detection. | Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie |
| 2020 | CIKM | METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. | Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo |
| 2020 | ICDM | Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction. | Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie |
| 2020 | IJCNN | Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. | Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani |
| 2020 | IJCNN | Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks. | Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie |
| 2020 | IJCNN | Improving Single and Multi-View Blockmodelling by Algebraic Simplification. | Rishabh Ramteke, Peter J. Stuckey, Jeffrey Chan, Kotagiri Ramamohanarao, James Bailey, Christopher Leckie, Emir Demirovic |
| 2020 | Networking | Evaluation of Centralised vs Distributed Collaborative Intrusion Detection Systems in Multi-Access Edge Computing. | Rahul Sharma, Chien Aun Chan, Christopher Leckie |
| 2020 | PAKDD | Image Analysis Enhanced Event Detection from Geo-Tagged Tweet Streams. | Yi Han, Shanika Karunasekera, Christopher Leckie |
| 2020 | SDM | Deep Multi-sphere Support Vector Data Description. | Zahra Ghafoori, Christopher Leckie |
| 2019 | CIKM | Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks. | Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie |
| 2019 | DASFAA | Change Point Detection for Streaming High-Dimensional Time Series. | Masoomeh Zameni, Zahra Ghafoori, Amin Sadri, Christopher Leckie, Kotagiri Ramamohanarao |
| 2019 | IJCAI | Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. | Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns |
| 2019 | IJCNN | Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach. | Fateme Fahiman, Sarah M. Erfani, Christopher Leckie |
| 2019 | IJCNN | Adaptive Edge Caching based on Popularity and Prediction for Mobile Networks. | Li Li, Chien Aun Chan, Sarah M. Erfani, Christopher Leckie |
| 2019 | IJCNN | Deep Learning and One-class SVM based Anomalous Crowd Detection. | Meng Yang, Sutharshan Rajasegarar, Sarah M. Erfani, Christopher Leckie |
| 2019 | KDD | Improving the Quality of Explanations with Local Embedding Perturbations. | Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle |
| 2018 | CVPR | Crowd Activity Change Point Detection in Videos via Graph Stream Mining. | Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Aravinda S. Rao, Marimuthu Palaniswami |
| 2018 | DICTA | Cluster-Based Crowd Movement Behavior Detection. | Meng Yang, Lida Rashidi, Aravinda S. Rao, Sutharshan Rajasegarar, Mohadeseh Ganji, Marimuthu Palaniswami, Christopher Leckie |
| 2018 | LCN | Detection of Anomalous Communications with SDRs and Unsupervised Adversarial Learning. | Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Jack Riddle |
| 2018 | PAKDD | Online Clustering for Evolving Data Streams with Online Anomaly Detection. | Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie, Mahsa Salehi |
| 2018 | PRICAI | Graph Stream Mining Based Anomalous Event Analysis. | Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie |
| 2018 | SMC | Estimating Generalized Dunn's Cluster Validity Indices for Big Data. | Punit Rathore, Zahra Ghafoori, James C. Bezdek, Marimuthu Palaniswami, Christopher Leckie |
| 2018 | WISE | Density Biased Sampling with Locality Sensitive Hashing for Outlier Detection. | Xuyun Zhang, Mahsa Salehi, Christopher Leckie, Yun Luo, Qiang He, Rui Zhou, Rao Kotagiri |
| 2018 | SDM | Image Constrained Blockmodelling: A Constraint Programming Approach. | Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Ian Davidson |
| 2017 | AAAI | From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach. | Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| 2017 | AusDM | Distributed Detection of Zero-Day Network Traffic Flows. | Yuantian Miao, Lei Pan, Sutharshan Rajasegarar, Jun Zhang, Christopher Leckie, Yang Xiang |
| 2017 | CIKM | Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining. | Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie |
| 2017 | GLOBECOM | An Efficient Method for Anomaly Detection in Non-Stationary Data Streams. | Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie, Mahsa Salehi |
| 2017 | ICDE | Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract). | Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan, Xuyun Zhang |
| 2017 | ICDE | LSHiForest: A Generic Framework for Fast Tree Isolation Based Ensemble Anomaly Analysis. | Xuyun Zhang, Wan-Chun Dou, Qiang He, Rui Zhou, Christopher Leckie, Kotagiri Ramamohanarao, Zoran A. Salcic |
| 2017 | ICDM | A Pattern Tree Based Method for Mining Conditional Contrast Patterns of Multi-source Data. | Li Li, Sarah M. Erfani, Christopher Leckie |
| 2017 | IJCNN | Improving load forecasting based on deep learning and K-shape clustering. | Fateme Fahiman, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie |
| 2017 | SIGIR | Personalized Itinerary Recommendation with Queuing Time Awareness. | Kwan Hui Lim, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie |
| 2016 | ACISP | Improved Classification of Known and Unknown Network Traffic Flows Using Semi-supervised Machine Learning. | Timothy Glennan, Christopher Leckie, Sarah M. Erfani |
| 2016 | CIKM | Improving Personalized Trip Recommendation by Avoiding Crowds. | Xiaoting Wang, Christopher Leckie, Jeffrey Chan, Kwan Hui Lim, Tharshan Vaithianathan |
| 2016 | CIKM | Scalable Local-Recoding Anonymization using Locality Sensitive Hashing for Big Data Privacy Preservation. | Xuyun Zhang, Christopher Leckie, Wanchun Dou, Jinjun Chen, Kotagiri Ramamohanarao, Zoran Salcic |
| 2016 | IJCAI | Robust Domain Generalisation by Enforcing Distribution Invariance. | Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| 2016 | ICPR | Training robust models using Random Projection. | Xuan Vinh Nguyen, Sarah M. Erfani, Sakrapee Paisitkriangkrai, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao |
| 2016 | OZCHI | Detecting unseen anomalies in weight training exercises. | Yousef Kowsar, Masud Moshtaghi, Eduardo Velloso, Lars Kulik, Christopher Leckie |
| 2016 | PERCOM | Pedestrian behaviour analysis using the microsoft kinect. | Junying Chen, Sutharshan Rajasegarar, Christopher Leckie, Andr F. Gygax |
| 2016 | PERCOM | An improved scheme for privacy-preserving collaborative anomaly detection. | Lingjuan Lyu, Yee Wei Law, Sarah M. Erfani, Christopher Leckie, Marimuthu Palaniswami |
| 2016 | PERCOM | Efficient query processing on road traffic network. | Masoomeh Zameni, Masud Moshtaghi, Christopher Leckie |
| 2016 | SDM | R1STM: One-class Support Tensor Machine with Randomised Kernel. | Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| 2016 | SDM | Online Clustering of Multivariate Time-series. | Masud Moshtaghi, Christopher Leckie, James C. Bezdek |
| 2015 | AAAI | R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection. | Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie |
| 2015 | CIKM | Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment. | Minh Tuan Doan, Sutharshan Rajasegarar, Mahsa Salehi, Masud Moshtaghi, Christopher Leckie |
| 2015 | ECIR | Detecting Location-Centric Communities Using Social-Spatial Links with Temporal Constraints. | Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera |
| 2015 | ICASSP | Pattern based anomalous user detection in cognitive radio networks. | Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami |
| 2015 | ICMI | Detection of Deception in the Mafia Party Game. | Sergey Demyanov, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie |
| 2015 | ICPADS | Big Data Analytics-Enhanced Cloud Computing: Challenges, Architectural Elements, and Future Directions. | Rajkumar Buyya, Kotagiri Ramamohanarao, Christopher Leckie, Rodrigo N. Calheiros, Amir Vahid Dastjerdi, Steven Versteeg |
| 2015 | IJCAI | Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations. | Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera |
| 2015 | PAKDD | An Embedding Scheme for Detecting Anomalous Block Structured Graphs. | Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie |
| 2015 | PAKDD | Scalable Outlying-Inlying Aspects Discovery via Feature Ranking. | Xuan Vinh Nguyen, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei |
| 2015 | PAKDD | Discovering the Impact of Urban Traffic Interventions Using Contrast Mining on Vehicle Trajectory Data. | Xiaoting Wang, Christopher Leckie, Hairuo Xie, Tharshan Vaithianathan |
| 2014 | EDBT | Spatial Partitioning of Large Urban Road Networks. | Tarique Anwar, Chengfei Liu, Hai Le Vu, Christopher Leckie |
| 2014 | ICDM | TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs. | Jeffrey Chan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| 2014 | ICDM | Evaluating Spectral Unmixing Quality in the Absence of Reference Objects for Time Lapse Fluorescence Microscopy. | Liyan Liu, Andrey Kan, Jie H. S. Zhou, John F. Markham, Philip D. Hodgkin, Christopher Leckie |
| 2014 | PAKDD | Structure-Aware Distance Measures for Comparing Clusterings in Graphs. | Jeffrey Chan, Xuan Vinh Nguyen, Wei Liu, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei |
| 2014 | PAKDD | Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing. | Sarah M. Erfani, Yee Wei Law, Shanika Karunasekera, Christopher Leckie, Marimuthu Palaniswami |
| 2013 | CIKM | Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation. | Jeffrey Chan, Wei Liu, Andrey Kan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| 2013 | ICMLA | Applications of Class-Conditional Conformal Predictor in Multi-class Classification. | Fan Shi, Cheng Soon Ong, Christopher Leckie |
| 2013 | SDM | Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces. | James Bailey, Jeffrey Chan, Kotagiri Ramamohanarao, Christopher Leckie, Wei Liu |
| 2013 | SERVICES | Analysing Virtual Machine Usage in Cloud Computing. | Yi Han, Jeffrey Chan, Christopher Leckie |
| 2012 | CIKM | Utilizing common substructures to speedup tensor factorization for mining dynamic graphs. | Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao |
| 2012 | CIKM | On compressing weighted time-evolving graphs. | Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei, Kotagiri Ramamohanarao |
| 2012 | IJCNN | Measures for clustering and anomaly detection in sets of higher dimensional ellipsoids. | Sutharshan Rajasegarar, James C. Bezdek, Masud Moshtaghi, Christopher Leckie, Timothy C. Havens, Marimuthu Palaniswami |
| 2012 | KDD | SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs. | Jeffrey Chan, Wei Liu, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| 2012 | NSS | Estimating the Number of Hosts Corresponding to an Address while Preserving Anonymity. | Alif Wahid, Christopher Leckie, Chenfeng Vincent Zhou |
| 2011 | ICDM | Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks. | Masud Moshtaghi, Christopher Leckie, Shanika Karunasekera, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami |
| 2011 | ITNAC | An efficient approach to detecting concept-evolution in network data streams. | Sarah M. Erfani, Sutharshan Rajasegarar, Christopher Leckie |
| 2010 | ICPR | Action Recognition Using Space-Time Shape Difference Images. | Hao Qu, Liang Wang, Christopher Leckie |
| 2010 | ICPR | Encoding Actions via Quantized Vocabulary of Averaged Silhouettes. | Liang Wang, Christopher Leckie |
| 2010 | ICPR | Combining Real and Virtual Graphs to Enhance Data Clustering. | Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao |
| 2010 | MASS | Sensor data boundary estimation for anomaly detection in wireless sensor networks. | Shan Suthaharan, Christopher Leckie, Masud Moshtaghi, Shanika Karunasekera, Sutharshan Rajasegarar |
| 2010 | NSS | Comparative Analysis of HTTP Anomaly Detection Algorithms: DFA vs N-Grams. | Li Lin, Christopher Leckie, Chenfeng Vincent Zhou |
| 2010 | PAKDD | iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment. | Liang Wang, Uyen T. V. Nguyen, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao |
| 2009 | AusDM | A Query Based Approach for Mining Evolving Graphs. | Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie |
| 2009 | NSS | Characterising the Evolution in Scanning Activity of Suspicious Hosts. | Alif Wahid, Christopher Leckie, Chenfeng Vincent Zhou |
| 2009 | PAKDD | Approximate Spectral Clustering. | Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek |
| 2009 | WACV | Action recognition via multi-feature fusion and Gaussian process classification. | Liang Wang, Hang Zhou, Sui-Chien Low, Christopher Leckie |
| 2008 | CVPR | Moving shape dynamics: A signal processing perspective. | Liang Wang, Xin Geng, Christopher Leckie, Kotagiri Ramamohanarao |
| 2008 | FUSION | Online drift correction in wireless sensor networks using spatio-temporal modeling. | Maen Takruri, Sutharshan Rajasegarar, Subhash Challa, Christopher Leckie, Marimuthu Palaniswami |
| 2008 | ICDM | SpecVAT: Enhanced Visual Cluster Analysis. | Liang Wang, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao |
| 2008 | ICPR | Dual clustering for categorization of action sequences. | Joanna Cheng, Liang Wang, Christopher Leckie |
| 2008 | MSWIM | Analysis and enhancement of on-demand routing in wireless sensor networks. | Daniel Peter Dallas, Christopher Leckie, Kotagiri Ramamohanarao |
| 2008 | NOMS | CPU-based DoS attacks against SIP servers. | Ming Luo, Tao Peng, Christopher Leckie |
| 2008 | NOMS | Relieving hot spots in collaborative intrusion detection systems during worm outbreaks. | Chenfeng Vincent Zhou, Shanika Karunasekera, Christopher Leckie |
| 2008 | PAKDD | Characteristic-Based Descriptors for Motion Sequence Recognition. | Liang Wang, Xiaozhe Wang, Christopher Leckie, Kotagiri Ramamohanarao |
| 2007 | ICDM | Tensor Space Learning for Analyzing Activity Patterns from Video Sequences. | Liang Wang, Christopher Leckie, Xiaozhe Wang, Kotagiri Ramamohanarao, James C. Bezdek |
| 2007 | ICISS | The Curse of Ease of Access to the Internet. | Kotagiri Ramamohanarao, Kapil Kumar Gupta, Tao Peng, Christopher Leckie |
| 2007 | IM | Evaluation of a Decentralized Architecture for Large Scale Collaborative Intrusion Detection. | Chenfeng Vincent Zhou, Shanika Karunasekera, Christopher Leckie |
| 2006 | ADC | Approximate data mining in very large relational data. | James C. Bezdek, Richard J. Hathaway, Christopher Leckie, Kotagiri Ramamohanarao |
| 2006 | ICDM | Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs. | Jeffrey Chan, James Bailey, Christopher Leckie |
| 2006 | Networking | Echidna: Efficient Clustering of Hierarchical Data for Network Traffic Analysis. | Abdun Naser Mahmood, Christopher Leckie, Parampalli Udaya |
| 2005 | IM | Anomaly detection for Internet worms. | Yousof Al-Hammadi, Christopher Leckie |
| 2005 | Networking | Exploiting Traffic Localities for Efficient Flow State Lookup. | Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao |
| 2004 | Networking | Proactively Detecting Distributed Denial of Service Attacks Using Source IP Address Monitoring. | Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao |
| 2004 | PAKDD | Adaptive Clustering for Network Intrusion Detection. | Joshua Oldmeadow, Siddarth Ravinutala, Christopher Leckie |
| 2003 | ACISP | Detecting Distributed Denial of Service Attacks by Sharing Distributed Beliefs. | Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao |
| 2003 | GLOBECOM | An efficient filter for denial-of-service bandwidth attacks. | Samuel Abdelsayed, David Glimsholt, Christopher Leckie, Simon Ryan, Samer Shami |
| 2003 | GLOBECOM | Detecting reflector attacks by sharing beliefs. | Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao |
| 2003 | IAAI | Applying Reinforcement Learning to Packet Scheduling in Routers. | Herman L. Ferr, Ken Lau, Christopher Leckie, Anderson Tang |
| 2002 | ICML | Learning to Share Distributed Probabilistic Beliefs. | Christopher Leckie, Kotagiri Ramamohanarao |
| 2002 | Networking | Adjusted Probabilistic Packet Marking for IP Traceback. | Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao |
| 2002 | NOMS | A probabilistic approach to detecting network scans. | Christopher Leckie, Kotagiri Ramamohanarao |
| 1999 | IJCAI | An Evaluation of Criteria for Measuring the Quality of Clusters. | Bhavani Raskutti, Christopher Leckie |
| 1997 | IJCAI | Locating Faults in Tree-Structured Networks. | Christopher Leckie, Michael Dale |
| 1996 | PRICAI | The Development of an Interactive Fault Diagnosis Expert System for Telecommunication Applications. | Ming Zhao, Christopher Leckie |
| 1993 | IJCAI | An Inductive Approach to Learning Search Control Rules for Planning. | Christopher Leckie, Ingrid Zukerman |
| 1991 | ICML | Learning Search Control Rules for Planning: An Inductive Approach. | Christopher Leckie, Ingrid Zukerman |