Sonova Ag

Christos Dimopoulos

Harald Krueger

Claudio Santelli

Sebastian Stenzel

Sebastian Kroedel

System and methods are presented for detecting an authentic copy of a deep neural network in a device without reverse engineering the device. For example, the device can be a hearing device. A method is presented that includes providing audio signals to a deep neural network located in a hearing device, receiving signals from the deep neural network that are triggered by the transmitted audio signals, and determining whether the received signals were the expected signals. Specifically, the system can determine that an unauthorized entity embedded an unauthorized copy of the deep neural network in a hearing device.

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Zurich, Switzerland

Christos Dimopoulos