METHOD FOR PROTECTING A MACHINE LEARNING MODEL FROM A SIDE CHANNEL ATTACK

A method is provided for protecting a machine learning (ML) model from a side channel attack (SCA). The method is executed by a processor in a data processing system. The method includes generating a first random bit. A first weighted sum is computed for a first connection between a node of a first...

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Bibliographische Detailangaben

Hauptverfasser:	Michiels, Wilhelmus Petrus Adrianus Johannus, Hoogerbrugge, Jan
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
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