Sarah M. Erfani

166 papers A* 23A 18B 18C 3Misc 1Journal 77Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Semantic-aware Adversarial Fine-tuning for CLIP. CoRR Jiacheng Zhang, Jinhao Li, Hanxun Huang, Sarah M. Erfani, Benjamin I. P. Rubinstein, Feng Liu
2026	J	`jnl`	Toward Universal and Transferable Jailbreak Attacks on Vision-Language Models. CoRR Kaiyuan Cui, Yige Li, Yutao Wu, Xingjun Ma, Sarah M. Erfani, Christopher Leckie, Hanxun Huang
2025	J	`jnl`	AUDETER: A Large-scale Dataset for Deepfake Audio Detection in Open Worlds. CoRR Qizhou Wang, Hanxun Huang, Guansong Pang, Sarah M. Erfani, Christopher Leckie
2025	J	`jnl`	Algorithmically-designed reward shaping for multiagent reinforcement learning in navigation. Neurocomputing Ifrah Saeed, Andrew C. Cullen, Zainab R. Zaidi, Sarah M. Erfani, Tansu Alpcan
2025	J	`jnl`	Detecting Backdoor Samples in Contrastive Language Image Pretraining. CoRR Hanxun Huang, Sarah M. Erfani, Yige Li, Xingjun Ma, James Bailey
2025	A	`conf`	Exploiting Inter-Sample Information for Long-Tailed Out-of-Distribution Detection. WACV Nimeshika Udayangani, Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
2025	J	`jnl`	Exploiting Inter-Sample Information for Long-tailed Out-of-Distribution Detection. CoRR Nimeshika Udayangani, Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
2025	J	`jnl`	Exploring Weak-to-Strong Generalization for CLIP-based Classification. CoRR Jinhao Li, Sarah M. Erfani, Lei Feng, James Bailey, Feng Liu
2025	J	`jnl`	Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning. CoRR Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
2025	—	`conf`	HALO: Robust Out-of-Distribution Detection via Joint Optimisation. SaTML Hugo Lyons Keenan, Sarah M. Erfani, Christopher Leckie
2025	J	`jnl`	HALO: Robust Out-of-Distribution Detection via Joint Optimisation. CoRR Hugo Lyons Keenan, Sarah M. Erfani, Christopher Leckie
2025	J	`jnl`	Intention-aware Hierarchical Diffusion Model for Long-term Trajectory Anomaly Detection. CoRR Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
2025	J	`jnl`	Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios. CoRR Yixin Su, Wei Jiang, Fangquan Lin, Cheng Yang, Sarah M. Erfani, Junhao Gan, Yunxiang Zhao, Ruixuan Li, Rui Zhang
2025	J	`jnl`	Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios. ACM Trans. Inf. Syst. Yixin Su, Wei Jiang, Fangquan Lin, Cheng Yang, Sarah M. Erfani, Junhao Gan, Yunxiang Zhao, Ruixuan Li, Rui Zhang
2025	J	`jnl`	Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning. CoRR Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
2025	J	`jnl`	OIL-AD: An anomaly detection framework for decision-making sequences. Pattern Recognit. Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
2025	J	`jnl`	On the Bayes Inconsistency of Disagreement Discrepancy Surrogates. CoRR Neil G. Marchant, Andrew C. Cullen, Feng Liu, Sarah M. Erfani
2025	J	`jnl`	Position: Certified Robustness Does Not (Yet) Imply Model Security. CoRR Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
2025	A*	`conf`	Reasoning Like Experts: Leveraging Multimodal Large Language Models for Drawing-based Psychoanalysis. ACM Multimedia Xueqi Ma, Yanbei Jiang, Sarah M. Erfani, James Bailey, Weifeng Liu, Krista A. Ehinger, Jey Han Lau
2025	J	`jnl`	Reasoning Like Experts: Leveraging Multimodal Large Language Models for Drawing-based Psychoanalysis. CoRR Xueqi Ma, Yanbei Jiang, Sarah M. Erfani, James Bailey, Weifeng Liu, Krista A. Ehinger, Jey Han Lau
2025	—	`conf`	Round Trip Translation Defence Against Large Language Model Jailbreaking Attacks. PAKDD (Workshops) Canaan Yung, Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie
2025	J	`jnl`	Safety at Scale: A Comprehensive Survey of Large Model Safety. CoRR Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang
2025	J	`jnl`	Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety. Found. Trends Priv. Secur. Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhao Zhao, Hanxun Huang, Yige Li, Yutao Wu, Jiaming Zhang, Xiang Zheng, Yang Bai, Yiming Li, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Xudong Han, Haonan Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Tim Baldwin, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang
2025	A	`conf`	SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic Segmentation. CIKM Nimeshika Udayangani, Sarah M. Erfani, Christopher Leckie
2025	J	`jnl`	SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic Segmentation. CoRR Nimeshika Udayangani, Sarah M. Erfani, Christopher Leckie
2025	J	`jnl`	X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP. CoRR Hanxun Huang, Sarah M. Erfani, Yige Li, Xingjun Ma, James Bailey
2024	A	`conf`	Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning. ECAI Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
2024	J	`jnl`	Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning. CoRR Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
2024	—	`conf`	ConDGAD: Multi-augmentation Contrastive Learning for Dynamic Graph Anomaly Detection. ICPR (25) Siqi Xia, Sutharshan Rajasegarar, Lei Pan, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan
2024	Misc	`ed.`	Data Science and Machine Learning - 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023, Proceedings AusDM Diana Benavides-Prado, Sarah M. Erfani, Philippe Fournier-Viger, Yee Ling Boo, Yun Sing Koh
2024	A	`conf`	DeCoRTAD: Diffusion Based Conditional Representation Learning for Online Trajectory Anomaly Detection. ECAI Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
2024	A	`conf`	Detecting Anomalous Agent Decision Sequences Based on Offline Imitation Learning. AAMAS Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
2024	A*	`conf`	It's Simplex! Disaggregating Measures to Improve Certified Robustness. SP Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
2024	J	`jnl`	LabelGen: An Anomaly Label Generative Framework for Enhanced Graph Anomaly Detection. IEEE Access Siqi Xia, Sutharshan Rajasegarar, Lei Pan, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan
2024	A	`conf`	Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining. WACV Haitian He, Sarah M. Erfani, Mingming Gong, Qiuhong Ke
2024	J	`jnl`	OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences. CoRR Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
2024	—	`conf`	Reinforcement Learning for Joint Resource and Power Allocation in D2D Communications. CDC Ifrah Saeed, Andrew C. Cullen, Zainab R. Zaidi, Sarah M. Erfani, Tansu Alpcan
2024	J	`jnl`	Round Trip Translation Defence against Large Language Model Jailbreaking Attacks. CoRR Canaan Yung, Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie
2024	—	`conf`	The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models. SaTML Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
2024	A	`conf`	Training Sparse Graph Neural Networks via Pruning and Sprouting. SDM Xueqi Ma, Xingjun Ma, Sarah M. Erfani, James Bailey
2024	J	`jnl`	Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models. CoRR Jinhao Li, Haopeng Li, Sarah M. Erfani, Lei Feng, James Bailey, Feng Liu
2023	J	`jnl`	Adversarial Coreset Selection for Efficient Robust Training. Int. J. Comput. Vis. Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
2023	J	`jnl`	Distilling Cognitive Backdoor Patterns within an Image. CoRR Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey
2023	—	`conf`	EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs. ADMA (3) Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan, Lei Pan
2023	A*	`conf`	Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. AAAI Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
2023	J	`jnl`	Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. CoRR Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
2023	J	`jnl`	Exploiting Certified Defences to Attack Randomised Smoothing. CoRR Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
2023	A	`conf`	It's PageRank All The Way Down: Simplifying Deep Graph Networks. SDM Dominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie
2023	J	`jnl`	It's Simplex! Disaggregating Measures to Improve Certified Robustness. CoRR Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
2023	B	`conf`	Online Trajectory Anomaly Detection Based on Intention Orientation. IJCNN Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
2023	J	`jnl`	The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models. CoRR Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
2023	J	`jnl`	Towards quantum enhanced adversarial robustness in machine learning. CoRR Maxwell T. West, Shu Lok Tsang, Jia Shun Low, Charles D. Hill, Christopher Leckie, Lloyd C. L. Hollenberg, Sarah M. Erfani, Muhammad Usman
2023	J	`jnl`	Towards quantum enhanced adversarial robustness in machine learning. Nat. Mac. Intell. Maxwell T. West, Shu Lok Tsang, Jia Shun Low, Charles D. Hill, Christopher Leckie, Lloyd C. L. Hollenberg, Sarah M. Erfani, Muhammad Usman
2022	J	`jnl`	Adversarial Coreset Selection for Efficient Robust Training. CoRR Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
2022	—	`conf`	An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. ACL (1) Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau
2022	J	`jnl`	An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. CoRR Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau
2022	J	`jnl`	Benchmarking Adversarially Robust Quantum Machine Learning at Scale. CoRR Maxwell T. West, Sarah M. Erfani, Christopher Leckie, Martin Sevior, Lloyd C. L. Hollenberg, Muhammad Usman
2022	—	`conf`	COLLIDER: A Robust Training Framework for Backdoor Data. ACCV (6) Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
2022	J	`jnl`	COLLIDER: A Robust Training Framework for Backdoor Data. CoRR Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
2022	A*	`conf`	Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. KDD Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang
2022	J	`jnl`	Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. CoRR Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang
2022	A*	`conf`	Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity. NeurIPS Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
2022	J	`jnl`	Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity. CoRR Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
2022	B	`conf`	Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection. NSS Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan
2022	J	`jnl`	Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation. CoRR Shu Lok Tsang, Maxwell T. West, Sarah M. Erfani, Muhammad Usman
2022	—	`conf`	Local Intrinsic Dimensionality Signals Adversarial Perturbations. CDC Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein
2022	J	`jnl`	Performance analysis of coreset selection for quantum implementation of K-Means clustering algorithm. CoRR Fanzhe Qu, Sarah M. Erfani, Muhammad Usman
2022	—	`conf`	Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering. EMNLP (Findings) Shiquan Yang, Xinting Huang, Jey Han Lau, Sarah M. Erfani
2022	J	`jnl`	Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering. CoRR Shiquan Yang, Xinting Huang, Jey Han Lau, Sarah M. Erfani
2022	—	`conf`	ℓ ECCV (11) Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
2021	A*	`conf`	$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression. NeurIPS Jiabo He, Sarah M. Erfani, Xingjun Ma, James Bailey, Ying Chi, Xian-Sheng Hua
2021	A	`conf`	A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences. SDM Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani
2021	J	`jnl`	A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences. CoRR Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani
2021	A	`conf`	A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. SDM Qizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle
2021	J	`jnl`	Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression. CoRR Jiabo He, Sarah M. Erfani, Xingjun Ma, James Bailey, Ying Chi, Xian-Sheng Hua
2021	A	`conf`	Are you with me? Measurement of Learners' Video-Watching Attention with Eye Tracking. LAK Namrata Srivastava, Sadia Nawaz, Joshua Newn, Jason M. Lodge, Eduardo Velloso, Sarah M. Erfani, Dragan Gasevic, James Bailey
2021	A*	`conf`	Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning. IJCAI Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein
2021	J	`jnl`	Defending Support Vector Machines Against Data Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie
2021	A*	`conf`	Detecting Beneficial Feature Interactions for Recommender Systems. AAAI Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu
2021	B	`conf`	Domain-Aware Multiagent Reinforcement Learning in Navigation. IJCNN Ifrah Saeed, Andrew C. Cullen, Sarah M. Erfani, Tansu Alpcan
2021	A*	`conf`	Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. NeurIPS Hanxun Huang, Yisen Wang, Sarah M. Erfani, Quanquan Gu, James Bailey, Xingjun Ma
2021	C	`conf`	Generating Deep Networks Explanations with Robust Attribution Alignment. ACML Guohang Zeng, Yousef Kowsar, Sarah M. Erfani, James Bailey
2021	J	`jnl`	High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence. IEEE Trans. Inf. Forensics Secur. Laurent Amsaleg, James Bailey, Amélie Barbe, Sarah M. Erfani, Teddy Furon, Michael E. Houle, Milos Radovanovic, Xuan Vinh Nguyen
2021	J	`jnl`	Local Intrinsic Dimensionality Signals Adversarial Perturbations. CoRR Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein
2021	B	`conf`	Mining Rare Recurring Events in Network Traffic using Second Order Contrast Patterns. IJCNN Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie
2021	B	`conf`	Neural Architecture Search via Combinatorial Multi-Armed Bandit. IJCNN Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey
2021	J	`jnl`	Neural Architecture Search via Combinatorial Multi-Armed Bandit. CoRR Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey
2021	A*	`conf`	Neural Graph Matching based Collaborative Filtering. SIGIR Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan
2021	J	`jnl`	Neural Graph Matching based Collaborative Filtering. CoRR Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan
2021	A	`conf`	Scalable Contrast Pattern Mining over Data Streams. CIKM Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie
2021	A*	`conf`	UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems. IJCAI Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau
2021	J	`jnl`	𝓁 CoRR Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
2020	A*	`conf`	AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows. NeurIPS Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie
2020	J	`jnl`	AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows. CoRR Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
2020	B	`conf`	Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. IJCNN Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
2020	J	`jnl`	Black-box Adversarial Example Generation with Normalizing Flows. CoRR Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
2020	J	`jnl`	Defending Distributed Classifiers Against Data Poisoning Attacks. CoRR Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie
2020	J	`jnl`	Defending Regression Learners Against Poisoning Attacks. CoRR Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Justin Kopacz
2020	J	`jnl`	Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks. CoRR Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu
2020	B	`conf`	Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks. IJCNN Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie
2020	A	`conf`	Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences. LAK Namrata Srivastava, Sadia Nawaz, Jason M. Lodge, Eduardo Velloso, Sarah M. Erfani, James Bailey
2020	—	`conf`	GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems. EMNLP (1) Shiquan Yang, Rui Zhang, Sarah M. Erfani
2020	J	`jnl`	GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems. CoRR Shiquan Yang, Rui Zhang, Sarah M. Erfani
2020	C	`conf`	Heterogeneous Task Co-location in Containerized Cloud Computing Environments. ISORC Zhiheng Zhong, Jiabo He, Maria Alejandra Rodriguez, Sarah M. Erfani, Ramamohanarao Kotagiri, Rajkumar Buyya
2020	J	`jnl`	Improving Scalability of Contrast Pattern Mining for Network Traffic Using Closed Patterns. CoRR Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie
2020	A	`conf`	Invertible Generative Modeling using Linear Rational Splines. AISTATS Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie
2020	J	`jnl`	Invertible Generative Modeling using Linear Rational Splines. CoRR Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie
2020	J	`jnl`	LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection. IEEE Trans. Knowl. Data Eng. Zahra Ghafoori, Sarah M. Erfani, James C. Bezdek, Shanika Karunasekera, Christopher Leckie
2020	B	`conf`	Learning Non-Unique Segmentation with Reward-Penalty Dice Loss. IJCNN Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao
2020	J	`jnl`	Learning Non-Unique Segmentation with Reward-Penalty Dice Loss. CoRR Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao
2020	A*	`conf`	Normalized Loss Functions for Deep Learning with Noisy Labels. ICML Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey
2020	J	`jnl`	Normalized Loss Functions for Deep Learning with Noisy Labels. CoRR Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey
2020	A	`conf`	Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction. BPM Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani, Zahra Dasht Bozorgi, Ilya Verenich
2020	J	`jnl`	Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction. CoRR Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani, Zahra Dasht Bozorgi, Ilya Verenich
2020	B	`conf`	Segmented Pairwise Distance for Time Series with Large Discontinuities. IJCNN Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao
2020	J	`jnl`	Segmented Pairwise Distance for Time Series with Large Discontinuities. CoRR Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao
2019	B	`conf`	Adaptive Edge Caching based on Popularity and Prediction for Mobile Networks. IJCNN Li Li, Chien Aun Chan, Sarah M. Erfani, Christopher Leckie
2019	J	`jnl`	Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking. CoRR Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
2019	A*	`conf`	Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report. CHI Namrata Srivastava, Eduardo Velloso, Jason M. Lodge, Sarah M. Erfani, James Bailey
2019	B	`conf`	Deep Learning and One-class SVM based Anomalous Crowd Detection. IJCNN Meng Yang, Sutharshan Rajasegarar, Sarah M. Erfani, Christopher Leckie
2019	—	`conf`	Distributed Nonlinear Model Predictive Control and Reinforcement Learning. ANZCC Ifrah Saeed, Tansu Alpcan, Sarah M. Erfani, Mustafa Berkay Yilmaz
2019	A	`conf`	Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks. CIKM Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie
2019	J	`jnl`	Online cluster validity indices for performance monitoring of streaming data clustering. Int. J. Intell. Syst. Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, James Bailey
2019	B	`conf`	Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach. IJCNN Fateme Fahiman, Sarah M. Erfani, Christopher Leckie
2019	J	`jnl`	Support vector machines resilient against training data integrity attacks. Pattern Recognit. Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
2019	A*	`conf`	SynthNet: Learning to Synthesize Music End-to-End. IJCAI Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey
2018	—	`conf`	Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. ICLR Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey
2018	J	`jnl`	Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. CoRR Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Michael E. Houle, Grant Schoenebeck, Dawn Song, James Bailey
2018	—	`conf`	Deep Learning Based Game-Theoretical Approach to Evade Jamming Attacks. GameSec Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Peyam Pourbeik, Jack Riddle
2018	B	`conf`	Detection of Anomalous Communications with SDRs and Unsupervised Adversarial Learning. LCN Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Jack Riddle
2018	A*	`conf`	Dimensionality-Driven Learning with Noisy Labels. ICML Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey
2018	J	`jnl`	Dimensionality-Driven Learning with Noisy Labels. CoRR Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey
2018	J	`jnl`	Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. Zahra Ghafoori, Sarah M. Erfani, Sutharshan Rajasegarar, James C. Bezdek, Shanika Karunasekera, Christopher Leckie
2018	J	`jnl`	Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections. IEEE Trans. Fuzzy Syst. Punit Rathore, James C. Bezdek, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami
2018	A*	`conf`	Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition. AAAI Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri
2018	A*	`conf`	Online CP Decomposition for Sparse Tensors. ICDM Shuo Zhou, Sarah M. Erfani, James Bailey
2018	J	`jnl`	Online Cluster Validity Indices for Streaming Data. CoRR Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, James Bailey
2018	A*	`conf`	Predicting Complex Activities from Ongoing Multivariate Time Series. IJCAI Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri
2018	—	`conf`	Reinforcement Learning for Autonomous Defence in Software-Defined Networking. GameSec Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
2018	J	`jnl`	Reinforcement Learning for Autonomous Defence in Software-Defined Networking. CoRR Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
2017	—	`conf`	A Pattern Tree Based Method for Mining Conditional Contrast Patterns of Multi-source Data. ICDM Workshops Li Li, Sarah M. Erfani, Christopher Leckie
2017	—	`conf`	Accurate Recognition of the Current Activity in the Presence of Multiple Activities. PAKDD (2) Weihao Cheng, Sarah M. Erfani, Rui Zhang, Kotagiri Ramamohanarao
2017	B	`conf`	An efficient visual assessment of cluster tendency tool for large-scale time series data sets. FUZZ-IEEE Timothy B. Iredale, Sarah M. Erfani, Christopher Leckie
2017	J	`jnl`	Exponentially Weighted Ellipsoidal Model for Anomaly Detection. Int. J. Intell. Syst. Masud Moshtaghi, Sarah M. Erfani, Christopher Leckie, James C. Bezdek
2017	A*	`conf`	From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach. AAAI Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
2017	B	`conf`	Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms. FUZZ-IEEE Fateme Fahiman, James C. Bezdek, Sarah M. Erfani, Marimuthu Palaniswami, Christopher Leckie
2017	B	`conf`	Improving load forecasting based on deep learning and K-shape clustering. IJCNN Fateme Fahiman, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie
2017	C	`conf`	Markov Dynamic Subsequence Ensemble for Energy-Efficient Activity Recognition. MobiQuitous Weihao Cheng, Sarah M. Erfani, Rui Zhang, Kotagiri Ramamohanarao
2017	A*	`conf`	SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic Learning. ICDM Shuo Zhou, Sarah M. Erfani, James Bailey
2017	A	`conf`	Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining. CIKM Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie
2017	—	`conf`	The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality. WIFS Laurent Amsaleg, James Bailey, Dominique Barbe, Sarah M. Erfani, Michael E. Houle, Vinh Nguyen, Milos Radovanovic
2017	J	`jnl`	Toward the Starting Line: A Systems Engineering Approach to Strong AI. CoRR Tansu Alpcan, Sarah M. Erfani, Christopher Leckie
2016	—	`conf`	An improved scheme for privacy-preserving collaborative anomaly detection. PerCom Workshops Lingjuan Lyu, Yee Wei Law, Sarah M. Erfani, Christopher Leckie, Marimuthu Palaniswami
2016	B	`conf`	Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM. IJCNN Zahra Ghafoori, Sarah M. Erfani, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher A. Leckie
2016	J	`jnl`	Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms. CoRR Fateme Fahiman, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, Marimuthu Palaniswami
2016	J	`jnl`	High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning. Pattern Recognit. Sarah M. Erfani, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie
2016	—	`conf`	Improved Classification of Known and Unknown Network Traffic Flows Using Semi-supervised Machine Learning. ACISP (2) Timothy Glennan, Christopher Leckie, Sarah M. Erfani
2016	A	`conf`	R1STM: One-class Support Tensor Machine with Randomised Kernel. SDM Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
2016	A*	`conf`	Robust Domain Generalisation by Enforcing Distribution Invariance. IJCAI Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
2016	B	`conf`	Training robust models using Random Projection. ICPR Xuan Vinh Nguyen, Sarah M. Erfani, Sakrapee Paisitkriangkrai, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao
2016	—	`conf`	Unsupervised Parameter Estimation for One-Class Support Vector Machines. PAKDD (2) Zahra Ghafoori, Sutharshan Rajasegarar, Sarah M. Erfani, Shanika Karunasekera, Christopher A. Leckie
2015	—	`—`	Anomaly detection in participatory sensing networks. Sarah M. Erfani
2015	A*	`conf`	R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection. AAAI Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie
2014	—	`conf`	Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing. PAKDD (1) Sarah M. Erfani, Yee Wei Law, Shanika Karunasekera, Christopher Leckie, Marimuthu Palaniswami
2013	—	`conf`	Privacy-preserving data aggregation in Participatory Sensing Networks. ISSNIP Sarah M. Erfani, Shanika Karunasekera, Christopher Leckie, Udaya Parampalli
2011	—	`conf`	An efficient approach to detecting concept-evolution in network data streams. ATNAC Sarah M. Erfani, Sutharshan Rajasegarar, Christopher Leckie