Sunil Arora, John Hastings
The paper introduces SC-NLP-LMF, a framework for secure and compliant management of NLP systems throughout their lifecycle, especially in sensitive domains.
This research addresses the security and compliance challenges faced by NLP systems used in critical sectors like healthcare and finance. It presents a new framework, SC-NLP-LMF, to manage these systems securely from creation to retirement. By aligning with global standards and incorporating advanced privacy and security techniques, this framework helps ensure that NLP models remain safe and compliant. A practical example in healthcare shows its effectiveness in adapting to new language trends, such as those related to COVID-19.
