Sarah M. Erfani
Orcid: 0000-0003-0885-0643Affiliations:
- University of Melbourne, School of Computing and Information Systems, Australia
According to our database1,
Sarah M. Erfani
authored at least 116 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
CoRR, 2024
Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
Int. J. Comput. Vis., December, 2023
Nat. Mac. Intell., June, 2023
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models.
CoRR, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation.
CoRR, 2022
Performance analysis of coreset selection for quantum implementation of K-Means clustering algorithm.
CoRR, 2022
Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection.
Proceedings of the Network and System Security - 16th International Conference, 2022
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Computer Vision - ACCV 2022, 2022
2021
IEEE Trans. Inf. Forensics Secur., 2021
IEEE Trans. Inf. Forensics Secur., 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Are you with me? Measurement of Learners' Video-Watching Attention with Eye Tracking.
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Mining Rare Recurring Events in Network Traffic using Second Order Contrast Patterns.
Proceedings of the International Joint Conference on Neural Networks, 2021
UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Asian Conference on Machine Learning, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Knowl. Data Eng., 2020
Improving Scalability of Contrast Pattern Mining for Network Traffic Using Closed Patterns.
CoRR, 2020
Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020
Proceedings of the 23rd IEEE International Symposium on Real-Time Distributed Computing, 2020
Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction.
Proceedings of the Business Process Management - 18th International Conference, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Pattern Recognit., 2019
Online cluster validity indices for performance monitoring of streaming data clustering.
Int. J. Intell. Syst., 2019
Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking.
CoRR, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
Proceedings of the 2019 Australian & New Zealand Control Conference (ANZCC), 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Fuzzy Syst., 2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Detection of Anomalous Communications with SDRs and Unsupervised Adversarial Learning.
Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018
Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018
Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Int. J. Intell. Syst., 2017
The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality.
Proceedings of the 2017 IEEE Workshop on Information Forensics and Security, 2017
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
A Pattern Tree Based Method for Mining Conditional Contrast Patterns of Multi-source Data.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
An efficient visual assessment of cluster tendency tool for large-scale time series data sets.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning.
Pattern Recognit., 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Improved Classification of Known and Unknown Network Traffic Flows Using Semi-supervised Machine Learning.
Proceedings of the Information Security and Privacy - 21st Australasian Conference, 2016
2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
2013
Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013
2011
Proceedings of the Australasian Telecommunication Networks and Applications Conference, 2011