Sarah M. Erfani - Google Scholar Citations

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	All	Since 2014
Citations	1081	1081
h-index	12	12
i10-index	12	12

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201520162017201820194 43 125 373 523

Co-authors

Christopher LeckieProfessor, Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
James BaileyProfessor, Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Sutharshan RajasegararSchool of Information Technology, Deakin UniversityVerified email at unimelb.edu.au
Shanika KarunasekeraProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Ramamohanarao (Rao) KotagiriProfessor, Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
James C. BezdekUniversity of Melbourne, Computer and Information SystemsVerified email at unimelb.edu.au
Vinh NguyenDeep Learning Solutions Architect at NVIDIA & Machine Learning Scientist, University of MelbourneVerified email at unimelb.edu.au
Mahsa BaktashmotlaghUniversity of QueenslandVerified email at uq.edu.au
M. PalaniswamiProfessor of Electrical EngineeringVerified email at unimelb.edu.au
Laurent CharlinAssistant Professor, HEC Montréal & Mila, Canada CIFAR AI ChairVerified email at hec.ca
Masud MoshtaghiAmazonVerified email at amazon.com
Milos RadovanovicAssociate Professor of Computer Science, University of Novi Sad, SerbiaVerified email at dmi.uns.ac.rs
Li LiThe University of MelbourneVerified email at student.unimelb.edu.au
Yee Wei LawLecturer, University of South AustraliaVerified email at unisa.edu.au
Punit RathoreMassachusetts Institute of Technology, Cambridge, USAVerified email at mit.edu
Benjamin I. P. RubinsteinAssociate Professor, School of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Udaya ParampalliProfessor, School of Computing and Information Systems, University of Melbourne, AustraliaVerified email at unimelb.edu.au
Sakrapee PaisitkriangkraiPostdoctoral research fellow, Australian Centre for Visual Technologies, The University of AdelaideVerified email at adelaide.edu.au
Teddy FuronINRIA Rennes - IRISAVerified email at inria.fr

Sarah M. Erfani

Computing and Information Systems, University of Melbourne

Verified email at unimelb.edu.au - Homepage

Machine Learning Large-scale Data Mining Time Series Analysis Cyber Security Data Privacy


Title	Cited by	Year
From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach SM Erfani, M Baktashmotlagh, M Moshtaghi, V Nguyen, C Leckie, J Bailey, ... Association for the Advancement of Artificial Intelligence (AAAI), 2017	398*	2017
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning SM Erfani, S Rajasegarar, S Karunasekera, C Leckie Pattern Recognition 58, 121-134, 2016	289	2016
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality X Ma, B Li, Y Wang, SM Erfani, S Wijewickrema, ME Houle, ... International Conference on Learning Representations (ICLR), 2018	119	2018
Dimensionality-Driven Learning with Noisy Labels X Ma, Y Wang, ME Houle, S Zhou, SM Erfani, ST Xia, S Wijewickrema, ... The 36th International Conference on Machine Learning (ICML), 2018	50	2018
R1SVM: a randomised nonlinear approach to large-scale anomaly detection S Erfani, M Baktashmotlagh, S Rajasegarar, S Karunasekera, C Leckie Association for the Advancement of Artificial Intelligence (AAAI), 2015	24	2015
The Vulnerability of Learning to Adversarial Perturbation Increases with Intrinsic Dimensionality L Amsaleg, J Bailey, D Barbe, S Erfani, M Houle, V Nguyen, ... IEEE International Workshop on Information Forensics and Security (WIFS), 2017	19	2017
Improving Load Forecasting Based on Deep Learning and K-shape Clustering F Fahiman, SM Erfani, S Rajasegarar, M Palaniswami, C Leckie International Joint Conference on Neural Networks (IJCNN), 2017	17	2017
Unsupervised Parameter Estimation for One-Class Support Vector Machines Z Ghafoori, S Rajasegarar, SM Erfani, S Karunasekera, C Leckie Pacific Asia Knowledge Discovery and Data Mining (PAKDD), 2016	17	2016
Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines Z Ghafoori, S Erfani, S Rajasegarar, J Bezdek, S Karunasekera, C Leckie IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018	15	2018
Ensemble Fuzzy Clustering using Cumulative Aggregation on Random Projections P Rathore, JC Bezdek, SM Erfani, S Rajasegarar, M Palaniswami IEEE Transactions on Fuzzy Systems (TFS), 2017	15	2017
Robust Domain Generalisation by Enforcing Distribution Invariance SM Erfani, M Baktashmotlaghy, M Moshtaghi, V Nguyen, C Leckie, ... International Joint Conference on Artificial Intelligence (IJCAI), 2016	13	2016
Improved Classification of Known and Unknown Network Traffic Flows using Semi-Supervised Machine Learning T Glennan, C Leckie, SM Erfani Australasian Conference on Information Security and Privacy (ACISP), 2016	12	2016
R1STM: One-class Support Tensor Machine with Randomised Kernel SM Erfani, M Baktashmotlagh, S Rajasegarar, V Nguyen, C Leckie, ... SIAM International Conference on Data Mining (SDM), 2016	9	2016
Privacy-preserving data aggregation in participatory sensing networks SM Erfani, S Karunasekera, C Leckie, U Parampalli International Conference on Intelligent Sensors, Sensor Networks and …, 2013	9	2013
Online cluster validity indices for streaming data M Moshtaghi, JC Bezdek, SM Erfani, C Leckie, J Bailey arXiv preprint arXiv:1801.02937, 2018	7	2018
Training robust models using Random Projection NX Vinh, S Erfani, S Paisitkriangkrai, J Bailey, C Leckie, ... International Conference on Pattern Recognition (ICPR), 531-536, 2016	7	2016
An Improved Scheme for Privacy-Preserving Collaborative Anomaly Detection L Lyu, YW Law, SM Erfani, C Leckie, M Palaniswami IEEE PERCOM workshop on Security Privacy and Trust in IoT (SPT-IoT), 2016	7	2016
Privacy-preserving collaborative anomaly detection for participatory sensing SM Erfani, YW Law, S Karunasekera, CA Leckie, M Palaniswami Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 581-593, 2014	6	2014
Reinforcement learning for autonomous defence in software-defined networking Y Han, BIP Rubinstein, T Abraham, T Alpcan, O De Vel, S Erfani, ... International Conference on Decision and Game Theory for Security, 145-165, 2018	5	2018
A Pattern Tree based Method for Mining Conditional Contrast Pattern of Multi-Source Data L Li, S Erfani, C Leckie IEEE International Conference on Data Mining Workshops (ICDMW), 2017	4	2017

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