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Charles Kamhoua

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Decision Theory-Guided Deep Reinforcement Learning for Fast Learning

Feb 08, 2024
Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles Kamhoua, Munindar P. Singh

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IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception

May 01, 2023
Joseph Bao, Murat Kantarcioglu, Yevgeniy Vorobeychik, Charles Kamhoua

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AIIPot: Adaptive Intelligent-Interaction Honeypot for IoT Devices

Mar 22, 2023
Volviane Saphir Mfogo, Alain Zemkoho, Laurent Njilla, Marcellin Nkenlifack, Charles Kamhoua

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MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning

May 25, 2022
Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles Kamhoua, Evangelos E. Papalexakis, Fei Fang

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Learning Generative Deception Strategies in Combinatorial Masking Games

Sep 23, 2021
Junlin Wu, Charles Kamhoua, Murat Kantarcioglu, Yevgeniy Vorobeychik

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Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions

Jun 30, 2021
Juan Shu, Bowei Xi, Charles Kamhoua

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Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions

Jan 22, 2021
Todd Huster, Jeremy E. J. Cohen, Zinan Lin, Kevin Chan, Charles Kamhoua, Nandi Leslie, Cho-Yu Jason Chiang, Vyas Sekar

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Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey

Jan 21, 2021
Mu Zhu, Ahmed H. Anwar, Zelin Wan, Jin-Hee Cho, Charles Kamhoua, Munindar P. Singh

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Learning and Planning in Feature Deception Games

May 13, 2019
Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles Kamhoua, Fei Fang

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