Abstract: Detecting anomalies in general ledger data is of utmost importance to ensure the trustworthiness of financial records. Financial audits increasingly rely on machine learning (ML) algorithms ...
Abstract: This article studies the problem of identifying both stealthy and nonstealthy integrity attacks for unknown linear discrete-time systems. By establishing a necessary and sufficient condition ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results