DEVICE AND METHOD FOR DETERMINING ADVERSARIAL PATCHES FOR A MACHINE LEARNING SYSTEM

A computer-implemented method for determining an adversarial patch for a machine learning system. The machine learning system is configured for image analysis and determines an output signal based on an input image. The output signal is determined based on an output of an attention layer of the mach...

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Hauptverfasser: Munoz Delgado, Andres Mauricio, Lovisotto, Giulio, Finnie, Nicole Ying, Mummadi, Chaithanya Kumar, Metzen, Jan Hendrik
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:A computer-implemented method for determining an adversarial patch for a machine learning system. The machine learning system is configured for image analysis and determines an output signal based on an input image. The output signal is determined based on an output of an attention layer of the machine learning system. The adversarial patch is determined by optimizing the adversarial patch with respect to a loss function, wherein the loss function comprises a term that characterizes a sum of attention weights of the attention layer with respect to a position of the adversarial patch in the input image and the method comprises a step of maximizing the term.