Uncovering Intellectual Property Threats to Language Models

Conducted an in-depth exploration of vulnerabilities and defenses within Natural Language Processing (NLP) models to enhance both their security and performance. This project delved into identifying potential weaknesses in NLP models and developing strategies to fortify them against various threats, ultimately contributing to the advancement of NLP technology in terms of robustness and reliability.