Security Risks in Large Language Models and General Mitigation Strategies
摘要
Since the inception of ChatGPT, Large Language Models (LLMs) have been reshaping many tasks such as document creation, decision support, computer coding and multi-language translations. Industries like education, healthcare and financial services are being transformed. However, their pervasiveness has also introduced security risks. In this study, a review of literature published in the most recent years is conducted to identify and categorise the potential risks associated with LLMs. Potential mitigation strategies and actionable solutions are discussed for each category. This study concludes by pointing out more efforts and future directions for the responsible development and use of LLMs.