From Exploitation to Protection: Analysis of Attacks on Large Language Models

Key Points

• Investigate the vulnerabilities of large language models to attacks, particularly prompt injection.
• Analyzed various attack vectors targeting large language models.
• Focused on the mechanism of prompt injection attacks.
• Assessed the impact of these attacks on model performance and data security.
• Identified prompt injection as a significant threat to model integrity.
• Demonstrated that certain attacks can manipulate model behavior and leak confidential information.
• Established that models can be coerced into following harmful instructions.