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Feed-Forward Neural Networks as a Mixed-Integer Program
This study explores the formulation of trained ReLU neurons as MIP and applies MIP models for training neural networks (NNs).
A Variational Autoencoder Framework for Robust, Physics-Informed Cyberattack Recognition in Industrial Cyber-Physical Systems
This data-driven framework considers the temporal behavior of a generic physical system that extracts features from the time series of the sensor measurements that can be used for detecting covert attacks, distinguishing them from equipment faults, as well as localize the attack/fault.
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