SECURITY VULNERABILITY CONSTRAINTS FOR MACHINE LEARNING SYSTEMS

SECURITY VULNERABILITY CONSTRAINTS FOR MACHINE LEARNING SYSTEMS

Disclosed herein is a computer implemented method for generating a machine learning system from software packages. The software packages comprise package specific security vulnerability metadata. The method comprises receiving a specification of the machine learning system, wherein the specification...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Ryszka, Daniel Jakub, Kucharczyk, Szymon, Laczak, Dorota, Cmielowski, Lukasz G
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Disclosed herein is a computer implemented method for generating a machine learning system from software packages. The software packages comprise package specific security vulnerability metadata. The method comprises receiving a specification of the machine learning system, wherein the specification comprises security vulnerability constraints. The method further comprises selecting the software packages from a collection of software packages using the specification and by comparing the package specific security vulnerability metadata to the security vulnerability constraints. The method further comprises generating the machine learning system using the selected software packages. The method further comprises training the machine learning system using the specification.