Information Detection

Information detection research focuses on automatically identifying sensitive information within various data types, aiming to improve content moderation, data privacy, and data sharing. Current efforts leverage machine learning, particularly large language models (LLMs) and transformer architectures like BERT, to achieve high accuracy in detecting sensitive content across diverse domains, including social media, healthcare records, and legal documents. This work is crucial for mitigating risks associated with sensitive data exposure, enabling responsible data handling and facilitating collaborative research while adhering to privacy regulations.