Asaf Shabtai

This paper introduces FreakOut-LLM, demonstrating that emotional context, specifically stress, significantly compromises the safety alignment of large language models, increasing jailbreak susceptibility.

The paper proposes ConGISATA, a continuous, gamified framework using embedded mobile sensors to enhance individual information security awareness by transforming passive risks into active learning opportunities.

SecMate is a multi-agent virtual customer assistant for cybersecurity troubleshooting that significantly improves resolution rates (from 50% to over 90%) by integrating device, user, and service-specific context.