MULTI-STAGE TRAINING OF MACHINE LEARNING MODELS

专利名称：MULTI-STAGE TRAINING OF MACHINE

LEARNING MODELS

发明人：Michael Roytman,Jay Jacobs申请号：US17223675申请日：20210406

公开号：US20210248243A1公开日：20210812

专利附图：

摘要：Generation of a first prediction model is caused based on first training data,wherein the first prediction model enables determining whether an exploit to be

developed for software vulnerabilities will be used in an attack. For each training instance

in the first training data, the first prediction model is used to generate a scored. Eachtraining instance is added to second training data if the score is greater than a thresholdvalue. The second training data is a subset of the first training data. Generation of asecond prediction model is caused based on the second training data, wherein the secondprediction model enables determining whether an exploit to be developed for softwarevulnerabilities will be used in an attack.

申请人：Kenna Security, Inc.

地址：Chicago IL US

国籍：US

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