The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 15, 2026

Filed:

Jun. 07, 2023
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Nicole Ying Finnie, Renningen, DE;

Jan Hendrik Metzen, Boeblingen, DE;

Robin Hutmacher, Renningen, DE;

Assignee:

ROBERT BOSCH GMBH, Stuttgart, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 13/04 (2006.01); G05B 13/02 (2006.01);
U.S. Cl.
CPC ...
G05B 13/045 (2013.01); G05B 13/0265 (2013.01);
Abstract

A computer-implemented method for determining an adversarial perturbation for input signals, especially sensor signals or features of sensor signals, of a machine learning system. A best perturbation is determined iteratively, wherein the best perturbation is provided as adversarial perturbation after a predefined amount of iterations, wherein at least one iteration includes: sampling a perturbation; applying the sampled perturbation to an input signal thereby determining a potential adversarial example; determining an output signal from the machine learning system for the potential adversarial example, determining a loss value characterizing a deviation of the output signal to a desired output signal, wherein the desired output signal corresponds to the input signal, if the loss value is larger than a previous loss value setting the best perturbation to the sampled perturbation.


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