International Business Machines Corporation

Saurabh Pujar

Jim Alain Laredo

Alessandro Morari

Luca Buratti

Alfio Massimiliano Gliozzo

Louis Degenaro

Mihaela Ancuta Bornea

Abhishek Malvankar

Gaetano Rossiello

Edward Adam Epstein

Yunhui Zheng

Jeffrey Scott McCarley

Burn Lewin Lewis

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.

Contextual embeddings for improving static analyzer output

A method, a computer system, and a computer program product for building pre-trained contextual embeddings is provided. Embodiments of the present invention may include collecting programming code. Embodiments of the present invention may include loading and preparing the programming code using a specialized programming language keywords-based vocabulary. Embodiments of the present invention may include creating contextual embeddings for the programming code. Embodiments of the present invention may include storing the contextual embeddings.

Building pre-trained contextual embeddings for programming languages using specialized vocabulary

A computer-implemented method, system and computer program product for sharing and utilizing healthcare data, by: providing one or more computer-implemented machine learning models for analyzing the healthcare data; and recording transactions involving the machine learning models using a blockchain as a distributed ledger that is shared, replicated and synchronized. Healthcare data is also used to train the machine learning models. The healthcare data comprises research data or patient data such as Electronic Medical Records (EMRs). A smart contract that is a computer-implemented protocol is used to facilitate, verify or enforce negotiation of the transactions involving the machine learning models or healthcare data.

System and method to share and utilize healthcare data

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White Plains, NY, United States of America

Saurabh Pujar