Malicious Agent
Malicious agents, encompassing compromised robots, AI-powered social engineering tools, and deceptive actors within multi-agent systems, represent a significant threat across various domains. Current research focuses on detecting and mitigating their influence through methods like distributed anomaly detection in robot swarms, robust consensus algorithms that account for differing agent types and trust levels, and machine learning models that identify malicious behavior in text and network data. Understanding and countering these agents is crucial for ensuring the security and reliability of autonomous systems, online platforms, and collaborative AI applications.
Papers
December 5, 2022
July 5, 2022
June 2, 2022
April 19, 2022
April 1, 2022
March 9, 2022
March 8, 2022
February 28, 2022
January 6, 2022