Adversarial Vulnerabilities in Specialized LLM Applications: Resume Screening Security Risks

This research from ArXiv highlights critical security vulnerabilities in specialized Large Language Model (LLM) applications, using resume screening as a practical example. It's a crucial area of study as it reveals how easily adversarial attacks can bypass AI-powered systems deployed in real-world scenarios.

• •Identifies security weaknesses in specialized LLM applications.
• •Uses resume screening as a real-world example of vulnerabilities.
• •Focuses on adversarial attacks and their potential impact.