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Neural Network Control Policy Verification With Persistent Adversarial Perturbation
In this paper, we show how to combine recent works on static neural network certification tools with robust control theory to certify a neural network policy in a control loop.
Generative Adversarial Networks based on Mixed-Attentions for Citation Intent Classification in Scientific Publications
We propose the mixed-attention-based Generative Adversarial Network (named maGAN), and apply it for citation intent classification in scientific publication.
Localized and Distributed H2 State Feedback Control
Distributed linear control design is crucial for large-scale cyber-physical systems.
Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation
In this paper, we show how to combine recent works on neural network certification tools (which are mainly used in static settings such as image classification) with robust control theory to certify a neural network policy in a control loop.
