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Sarah M. Erfani
- > Home > Persons > Sarah M. Erfani
Publications
- 2024
- [i51]Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie:
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences. CoRR abs/2402.04567 (2024) - 2023
- [c75]Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie:
Online Trajectory Anomaly Detection Based on Intention Orientation. IJCNN 2023: 1-8 - 2022
- [c71]Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein:
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CDC 2022: 6118-6125 - 2021
- [j8]Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie:
Defending Support Vector Machines Against Data Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. 16: 2566-2578 (2021) - [c61]Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein:
Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning. IJCAI 2021: 3176-3184 - [c56]Ifrah Saeed, Andrew C. Cullen, Sarah M. Erfani, Tansu Alpcan:
Domain-Aware Multiagent Reinforcement Learning in Navigation. IJCNN 2021: 1-8 - [i27]Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein:
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CoRR abs/2109.11803 (2021) - 2020
- [c45]Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani:
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. IJCNN 2020: 1-8 - [i17]Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Justin Kopacz:
Defending Regression Learners Against Poisoning Attacks. CoRR abs/2008.09279 (2020) - [i16]Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie:
Defending Distributed Classifiers Against Data Poisoning Attacks. CoRR abs/2008.09284 (2020) - 2019
- [j5]Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie:
Support vector machines resilient against training data integrity attacks. Pattern Recognit. 96 (2019) - [c38]Ifrah Saeed, Tansu Alpcan, Sarah M. Erfani, Mustafa Berkay Yilmaz:
Distributed Nonlinear Model Predictive Control and Reinforcement Learning. ANZCC 2019: 1-3 - [i11]Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani:
Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking. CoRR abs/1902.09062 (2019) - 2018
- [c29]Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague:
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. GameSec 2018: 145-165 - [c28]Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Peyam Pourbeik, Jack Riddle:
Deep Learning Based Game-Theoretical Approach to Evade Jamming Attacks. GameSec 2018: 386-397 - [c23]Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Jack Riddle:
Detection of Anomalous Communications with SDRs and Unsupervised Adversarial Learning. LCN 2018: 469-472 - [i3]Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague:
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. CoRR abs/1808.05770 (2018) - 2017
- [i2]Tansu Alpcan, Sarah M. Erfani, Christopher Leckie:
Toward the Starting Line: A Systems Engineering Approach to Strong AI. CoRR abs/1707.09095 (2017)
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