Patent ID: 11921903
Assignee: HIDDENLAYER, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 18:
19. A system comprising:
at least one data processor; and
memory storing instructions which, when executed by the at least one data processor, result in operations comprising:
receiving data characterizing artefacts associated with each of a plurality of layers of a first machine learning model;
generating, for each layer of the first machine learning model, fingerprints corresponding to each of the artefacts in such layer, the generated fingerprints collectively forming a model indicator for the first machine learning model;
determining whether the first machine learning model is derived from another machine learning model by performing a similarity analysis between the model indicator for the first machine learning model and model indicators generated for each of a plurality of reference machine learning models each comprising a respective set of fingerprints, the similarity analysis determining a number of values in each fingerprint of the first machine learning model within each of a plurality of pre-defined bin to generate a first value distribution and comparing the first value distribution with value distributions for each of the plurality of reference machine learning models; and
providing data characterizing the determining to a consuming application or process.