フォロー
Sarah M. Erfani
Sarah M. Erfani
Associate Professor, Computing and Information Systems, University of Melbourne
確認したメール アドレス: unimelb.edu.au - ホームページ
タイトル
引用先
引用先
年
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
13772016
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
3372021
Unlearnable Examples: Making Personal Data Unexploitable
H Huang, X Ma, S Erfani, J Bailey, Y Wang
International Conference on Learning Representations (ICLR), 2021
2042021
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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