| 2025 | CIKM | SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic Segmentation. | Nimeshika Udayangani, Sarah M. 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 | 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 | WACV | Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining. | Haitian He, Sarah M. Erfani, Mingming Gong, Qiuhong Ke |
| 2024 | SP | It's Simplex! Disaggregating Measures to Improve Certified Robustness. | Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein |
| 2024 | SDM | Training Sparse Graph Neural Networks via Pruning and Sprouting. | Xueqi Ma, Xingjun Ma, Sarah M. Erfani, James Bailey |
| 2023 | AAAI | Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. | Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein |
| 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 | IJCNN | Online Trajectory Anomaly Detection Based on Intention Orientation. | Chen Wang, Sarah M. Erfani, Tansu Alpcan, 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 | ACCV | COLLIDER: A Robust Training Framework for Backdoor Data. | Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie |
| 2022 | ACL | An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. | Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau |
| 2022 | ECCV | ℓ | Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie |
| 2022 | EMNLP | Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering. | Shiquan Yang, Xinting Huang, Jey Han Lau, Sarah M. Erfani |
| 2022 | KDD | Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. | Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang |
| 2022 | NSS | Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection. | Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan |
| 2021 | AAAI | Detecting Beneficial Feature Interactions for Recommender Systems. | Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu |
| 2021 | ACML | Generating Deep Networks Explanations with Robust Attribution Alignment. | Guohang Zeng, Yousef Kowsar, Sarah M. Erfani, James Bailey |
| 2021 | CIKM | Scalable Contrast Pattern Mining over Data Streams. | Elaheh Alipour Chavary, Sarah M. Erfani, 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 | IJCAI | UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems. | Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau |
| 2021 | IJCNN | Mining Rare Recurring Events in Network Traffic using Second Order Contrast Patterns. | Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie |
| 2021 | IJCNN | Neural Architecture Search via Combinatorial Multi-Armed Bandit. | Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey |
| 2021 | IJCNN | Domain-Aware Multiagent Reinforcement Learning in Navigation. | Ifrah Saeed, Andrew C. Cullen, Sarah M. Erfani, Tansu Alpcan |
| 2021 | LAK | Are you with me? Measurement of Learners' Video-Watching Attention with Eye Tracking. | Namrata Srivastava, Sadia Nawaz, Joshua Newn, Jason M. Lodge, Eduardo Velloso, Sarah M. Erfani, Dragan Gasevic, James Bailey |
| 2021 | SIGIR | Neural Graph Matching based Collaborative Filtering. | Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan |
| 2021 | SDM | A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences. | Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani |
| 2021 | SDM | A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. | Qizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle |
| 2020 | AISTATS | Invertible Generative Modeling using Linear Rational Splines. | Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie |
| 2020 | BPM | Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction. | Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani, Zahra Dasht Bozorgi, Ilya Verenich |
| 2020 | EMNLP | GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems. | Shiquan Yang, Rui Zhang, Sarah M. Erfani |
| 2020 | ICML | Normalized Loss Functions for Deep Learning with Noisy Labels. | Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey |
| 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 | Segmented Pairwise Distance for Time Series with Large Discontinuities. | Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao |
| 2020 | IJCNN | Learning Non-Unique Segmentation with Reward-Penalty Dice Loss. | Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao |
| 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 | ISORC | Heterogeneous Task Co-location in Containerized Cloud Computing Environments. | Zhiheng Zhong, Jiabo He, Maria Alejandra Rodriguez, Sarah M. Erfani, Ramamohanarao Kotagiri, Rajkumar Buyya |
| 2020 | LAK | Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences. | Namrata Srivastava, Sadia Nawaz, Jason M. Lodge, Eduardo Velloso, Sarah M. Erfani, James Bailey |
| 2019 | CHI | Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report. | Namrata Srivastava, Eduardo Velloso, Jason M. Lodge, Sarah M. Erfani, James Bailey |
| 2019 | CIKM | Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks. | Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie |
| 2019 | IJCAI | SynthNet: Learning to Synthesize Music End-to-End. | Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey |
| 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 |
| 2018 | AAAI | Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition. | Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri |
| 2018 | ICDM | Online CP Decomposition for Sparse Tensors. | Shuo Zhou, Sarah M. Erfani, James Bailey |
| 2018 | ICLR | Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. | Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey |
| 2018 | ICML | Dimensionality-Driven Learning with Noisy Labels. | Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey |
| 2018 | IJCAI | Predicting Complex Activities from Ongoing Multivariate Time Series. | Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri |
| 2018 | LCN | Detection of Anomalous Communications with SDRs and Unsupervised Adversarial Learning. | Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Jack Riddle |
| 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 | CIKM | Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining. | Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie |
| 2017 | ICDM | A Pattern Tree Based Method for Mining Conditional Contrast Patterns of Multi-source Data. | Li Li, Sarah M. Erfani, Christopher Leckie |
| 2017 | ICDM | SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic Learning. | Shuo Zhou, Sarah M. Erfani, James Bailey |
| 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 | Mobiquitous | Markov Dynamic Subsequence Ensemble for Energy-Efficient Activity Recognition. | Weihao Cheng, Sarah M. Erfani, Rui Zhang, Kotagiri Ramamohanarao |
| 2017 | PAKDD | Accurate Recognition of the Current Activity in the Presence of Multiple Activities. | Weihao Cheng, Sarah M. Erfani, Rui Zhang, Kotagiri Ramamohanarao |
| 2016 | ACISP | Improved Classification of Known and Unknown Network Traffic Flows Using Semi-supervised Machine Learning. | Timothy Glennan, Christopher Leckie, Sarah M. Erfani |
| 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 | IJCNN | Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM. | Zahra Ghafoori, Sarah M. Erfani, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher A. Leckie |
| 2016 | ICPR | Training robust models using Random Projection. | Xuan Vinh Nguyen, Sarah M. Erfani, Sakrapee Paisitkriangkrai, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao |
| 2016 | PAKDD | Unsupervised Parameter Estimation for One-Class Support Vector Machines. | Zahra Ghafoori, Sutharshan Rajasegarar, Sarah M. Erfani, Shanika Karunasekera, Christopher A. Leckie |
| 2016 | PERCOM | An improved scheme for privacy-preserving collaborative anomaly detection. | Lingjuan Lyu, Yee Wei Law, Sarah M. Erfani, Christopher Leckie, Marimuthu Palaniswami |
| 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 |
| 2015 | AAAI | R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection. | Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie |
| 2014 | PAKDD | Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing. | Sarah M. Erfani, Yee Wei Law, Shanika Karunasekera, Christopher Leckie, Marimuthu Palaniswami |
| 2011 | ITNAC | An efficient approach to detecting concept-evolution in network data streams. | Sarah M. Erfani, Sutharshan Rajasegarar, Christopher Leckie |