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US 2020/0349462 A1Published application
Machine Learning Model Score Obfuscation Using Time-based Score Oscillations
AssigneeCylance Inc.
InventorsHailey Buckingham, David N. Beveridge
Life of this patent
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Abstract
An artefact is received. Features are later extracted from the artefact and are used to populate a vector. The vector is input into a classification model to generate a score. This score is then modified using a time-based oscillation function and is provided to a consuming application or process. Related apparatus, systems, techniques and articles are also described.
Claims20
A computer-implemented method comprising:
- receiving an artefact;
- extracting features from the artefact and populating a vector;
- inputting the vector into a classification model to generate a score;
- modifying the score using a time-based oscillation function;
- and
- providing the modified score to a consuming application or process.
3 more elements
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 an artefact;
- extracting features from the artefact and populating a vector;
- inputting the vector into a classification model to generate a score;
- modifying the score using a time-based oscillation function;
- and
- providing the modified score to a consuming application or process.
6 more elements
Dependencies are inferred from the claim text.