FBID: Adaptive Personalized Federated Learning for Robust Out-Of-Distribution Attack Detection in IoT Networks

Personalized Federated Learning PFL has emerged as a promising solution for intrusion detection in heterogeneous IoT environments, as it can improve local adaptation under highly Non-Independent and Identically Distributed non-IID data distributions. However, existing PFL methods often rely on...

Adaptive Instruction Composition for Automated LLM Red-Teaming

Many approaches to LLM red-teaming leverage an attacker LLM to discover jailbreaks against a target. Several of them task the attacker with identifying effective strategies through trial and error, resulting in a semantically limited range of successes. Another approach discovers diverse attacks ...