Machine Learning Model Fingerprinting

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 using two or more different fingerprinting algorithms, a plurality of fingerprints corresponding to the artefacts in such layer, the generated fingerprints for all of the layers of the first machine learning model 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 two or more similarity analyses 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;
• and
• providing data characterizing the determining to a consuming application or process.