Sarah M. Erfani

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Christopher LeckieProfessor, Computing and Information Systems, The University of MelbourneAdresse e-mail validée de unimelb.edu.au
James BaileyProfessor, School of Computing and Information Systems, University of MelbourneAdresse e-mail validée de unimelb.edu.au
Xingjun MaSchool of Computer Science, Fudan UniversityAdresse e-mail validée de unimelb.edu.au
Sutharshan RajasegararAssociate Professor, School of Information Technology, Deakin UniversityAdresse e-mail validée de unimelb.edu.au
Shanika KarunasekeraProfessor, School of Computing and Information Systems, University of MelbourneAdresse e-mail validée de unimelb.edu.au
Michael E. HouleNew Jersey Institute of TechnologyAdresse e-mail validée de njit.edu
Yisen WangAssistant Professor, Peking UniversityAdresse e-mail validée de pku.edu.cn
Tansu AlpcanProfessor, Dept. of EEE, the University of MelbourneAdresse e-mail validée de unimelb.edu.au
Hanxun HuangThe University of MelbourneAdresse e-mail validée de unimelb.edu.au
Benjamin I. P. RubinsteinProfessor, School of Computing and Information Systems, The University of MelbourneAdresse e-mail validée de unimelb.edu.au
James C. BezdekUniversity of Melbourne, Computer and Information SystemsAdresse e-mail validée de unimelb.edu.au
Vinh NguyenDeep Learning @NVIDIAAdresse e-mail validée de nvidia.com
Sandamal WeerasingheResearch Fellow, School of Computing and Information Systems, The University of MelbourneAdresse e-mail validée de unimelb.edu.au
M. PalaniswamiProfessor of Electrical EngineeringAdresse e-mail validée de unimelb.edu.au
Yixin SuThe University of MelbourneAdresse e-mail validée de student.unimelb.edu.au
Mahsa BaktashmotlaghUniversity of QueenslandAdresse e-mail validée de uq.edu.au
Masud MoshtaghiAmazonAdresse e-mail validée de amazon.com
Bo LiUniversity of Illinois at Urbana–ChampaignAdresse e-mail validée de illinois.edu
Dawn SongProfessor of Computer Science, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Shu-Tao XiaSIGS, Tsinghua UniversityAdresse e-mail validée de sz.tsinghua.edu.cn

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Sarah M. Erfani

Associate Professor and DECRA Fellow, Computing and Information Systems, University of Melbourne

Adresse e-mail validée de unimelb.edu.au - Page d'accueil

Machine Learning AI Safety Cyber Security


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	1363	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	863	2018
Normalized Loss Functions for Deep Learning with Noisy Labels X Ma, H Huang, Y Wang, S Romano, S Erfani, J Bailey International Conference on Machine Learning (ICML), 2020	516	2020
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	480	2018
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression J He, SM Erfani, X Ma, J Bailey, Y Chi, H Xian-Sheng Conference on Neural Information Processing Systems (NeurIPS), 2021	334	2021
Unlearnable Examples: Making Personal Data Unexploitable H Huang, X Ma, S Erfani, J Bailey, Y Wang International Conference on Learning Representations (ICLR), 2021	198	2021
Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction F Taymouri, M La Rosa, S Erfani, ZD Bozorgi, I Verenich International Conference on Business Process Management (BPM), 2020	126	2020
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks H Huang, Y Wang, SM Erfani, Q Gu, J Bailey, X Ma Conference on Neural Information Processing Systems (NeurIPS), 2021	116	2021
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	105	2017
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 (GameSec …, 2018	93	2018
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	77	2018
Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks Y Su, R Zhang, S Erfani, Z Xu Association for the Advancement of Artificial Intelligence (AAAI), 2020	76*	2020
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	75	2017
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	75	2017
GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems S Yang, R Zhang, S Erfani Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020	69	2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows HM Dolatabadi, S Erfani, C Leckie Conference on Neural Information Processing Systems (NeurIPS), 2020	67*	2020
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	61	2016
Neural Graph Matching based Collaborative Filtering Y Su, R Zhang, S Erfani, J Gan ACM SIGIR Conference on Research and Development in Information Retrieval …, 2021	52	2021
Invertible Generative Modeling using Linear Rational Splines HM Dolatabadi, S Erfani, C Leckie International Conference on Artificial Intelligence and Statistics (AISTATS), 2020	49	2020
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	46	2015

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