متابعة
Sarah M. Erfani
Sarah M. Erfani
Associate Professor, Computing and Information Systems, University of Melbourne
بريد إلكتروني تم التحقق منه على unimelb.edu.au - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
13782016
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
8712018
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
5252020
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
4812018
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
3392021
Unlearnable Examples: Making Personal Data Unexploitable‏
H Huang, X Ma, S Erfani, J Bailey, Y Wang‏
International Conference on Learning Representations (ICLR), 2021‏
2062021
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
1292020
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
1182021
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
1062017
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
952018
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
80*2020
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
772018
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
752017
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
752017
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
712020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows‏
HM Dolatabadi, S Erfani, C Leckie‏
Conference on Neural Information Processing Systems (NeurIPS), 2020‏
66*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
612016
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
572021
Invertible Generative Modeling using Linear Rational Splines‏
HM Dolatabadi, S Erfani, C Leckie‏
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020‏
512020
Towards quantum enhanced adversarial robustness in machine learning‏
MT West, SL Tsang, JS Low, CD Hill, C Leckie, LCL Hollenberg, ...‏
Nature Machine Intelligence, 2023‏
502023
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مقالات 1–20