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An Adversarial Approach for Explaining the Predictions of Deep Neural Networks

Jun 22, 2020
Arash Rahnama, Andrew Tseng

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Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory

Nov 12, 2019
Arash Rahnama, Andre T. Nguyen, Edward Raff

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Connecting Lyapunov Control Theory to Adversarial Attacks

Jul 17, 2019
Arash Rahnama, Andre T. Nguyen, Edward Raff

* 8 pages, 3 figures, AdvML'19: Workshop on Adversarial Learning Methods for Machine Learning and Data Mining at KDD 

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Network-based protein structural classification

Apr 12, 2018
Arash Rahnama, Khalique Newaz, Panos J. Antsaklis, Tijana Milenkovic

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Resilient Learning-Based Control for Synchronization of Passive Multi-Agent Systems under Attack

Sep 28, 2017
Arash Rahnama, Panos J. Antsaklis

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Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning

Aug 13, 2017
Arash Rahnama, Abdullah Alchihabi, Vijay Gupta, Panos Antsaklis, Fatos T. Yarman Vural

* 6 pages, 3 figures, submitted to The 17th annual IEEE International Conference on BioInformatics and BioEngineering 

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