A Comparative Survey of Security Risks in AI Systems: From LLMs to AI Agents and Embodied Agents

This is a research survey paper published in ACM Computing Surveys that compares security risks across different types of AI systems, including LLMs (large language models, which are AI systems trained on massive amounts of text), AI agents (systems that can take actions based on their decisions), and embodied agents (AI systems that interact with the physical world through robots or similar devices). The paper examines and contrasts the various security vulnerabilities and threats that each of these AI system types faces.