Adversarial Gaussian Process Regression In Sensor Network
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BIO
Yi Li is a PhD student in Computer Science at the Vanderbilt University, EECS Department. Please email yi.li@vanderbilt.edu to contact Yi.
ABSTRACT
In this work, we consider machine learning models for anomaly detection based on Gaussian process regression and make the following contributions: (1) We define stealthy attacks based on optimization approaches and investigate the feasibility of designing undetectable attacks with catastrophic potential damage; (2) We model the interactions between the attacker and the defender as a Stackelberg game and design algorithms for computing the equilibrium, and (3) design resilient anomaly detectors for stealthy attacks based on the game theoretical framework.
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License: CC-2.5
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