Systems for neural network computation are provided. A neural network processor
comprises a plurality of neural cores. The neural network processor has one or more pro …

Embodiments of the disclosure relate to configuring a watermark unit with watermark
algorithms for artificial intelligence (AI) models for a data processing (DP) accelerator. In one …

Embodiments of the disclosure relate to learning new watermark algorithms for artificial
intelligence (AI) models for a data processing (DP) accelerator. In one embodiment, a …

Methods, systems, and non-transitory computer readable storage media are disclosed for
generating a machine learning model and encoding ownership information in the machine …

A method and an apparatus for embedding watermark information are disclosed in the
present disclosure. The method trains an embedded neural network model using weight …

An example apparatus includes at least one processor circuitry to execute or instantiate
instructions to identify a media file is scheduled to be accessed by a media device within a …

Exemplary systems and methods are directed to embedding data into a machine learning
model. A processing device executes program code for running a machine learning model …

A system and method for controlling access to an on-device machine learning model without
the use of encryption is described herein. For example, a request is received from an …

Devices and techniques for authenticating wireless communications are disclosed. In some
embodiments, the techniques can be performed by a network access point that includes a …

US11574032B2 - Systems and methods for signing an AI model with a watermark for a data
processing accelerator - Google Patents US11574032B2 - Systems and methods for signing an …