Invention Grant
- Patent Title: Contextual embeddings for improving static analyzer output
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Application No.: US17138408Application Date: 2020-12-30
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Publication No.: US11765193B2Publication Date: 2023-09-19
- Inventor: Saurabh Pujar , Luca Buratti , Alessandro Morari , Jim Alain Laredo , Mihaela Ancuta Bornea , Jeffrey Scott McCarley , Yunhui Zheng
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Gavin Giraud
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G06F8/51 ; G06F18/24 ; G06F18/214

Abstract:
In a computer-implemented method for improving a static analyzer output, a processor receives a labeled data set with labeled true vulnerabilities and labeled false vulnerabilities. A processor receives pretrained contextual embeddings from a contextual embeddings model. A processor maps the true vulnerabilities and the false vulnerabilities to the pretrained contextual embeddings model. A processor generates a fine-tuned model with classifications for true vulnerabilities.
Public/Granted literature
- US20220210178A1 CONTEXTUAL EMBEDDINGS FOR IMPROVING STATIC ANALYZER OUTPUT Public/Granted day:2022-06-30
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