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Defending Distributed Classifiers Against Data Poisoning Attacks


Aug 21, 2020
Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie

* 14 pages 

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Defending Regression Learners Against Poisoning Attacks


Aug 21, 2020
Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Justin Kopacz

* 13 pages 

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Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking


Feb 25, 2019
Yi Han, David Hubczenko, Paul Montague, Olivier De Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah Erfani

* 8 pages, 4 figures 

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Reinforcement Learning for Autonomous Defence in Software-Defined Networking


Aug 17, 2018
Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier De Vel, Sarah Erfani, David Hubczenko, Christopher Leckie, Paul Montague

* 20 pages, 8 figures 

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Toward the Starting Line: A Systems Engineering Approach to Strong AI


Oct 18, 2017
Tansu Alpcan, Sarah M. Erfani, Christopher Leckie

* 11 pages, 3 figures 

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Large-Scale Strategic Games and Adversarial Machine Learning


Sep 21, 2016
Tansu Alpcan, Benjamin I. P. Rubinstein, Christopher Leckie

* 7 pages, 1 figure; CDC'16 to appear 

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Dual Control with Active Learning using Gaussian Process Regression


May 11, 2011
Tansu Alpcan


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A Framework for Optimization under Limited Information


May 11, 2011
Tansu Alpcan


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Fictitious Play with Time-Invariant Frequency Update for Network Security


Jun 17, 2010
Kien C. Nguyen, Tansu Alpcan, Tamer Başar

* Proceedings of the 2010 IEEE Multi-Conference on Systems and Control (MSC10), September 2010, Yokohama, Japan 

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