Honeypots for AI Agent Insider Threats

AI agents deployed inside organizations can pose an insider threat if they make mistakes, are compromised by an attacker, or pursue misaligned objectives. We propose honeypots as an AI control method to improve the security of internal agent deployments. Rather than only using honeypots for...

LLM Causality Analysis Framework

A comprehensive framework for multi-level causality analysis in Large Language Models LLMs, enabling systematic investigation of safety mechanisms and misbehavior detection across token, neuron, layer, and representation levels. Includes the whitepaper 2512.04841.pdf titled SoK: A Comprehensive...

Accountable, Scalable and DoS-Resilient Secure Vehicular Communication

Paramount to vehicle safety, broadcasted Cooperative Awareness Messages CAMs and Decentralized Environmental Notification Messages DENMs are pseudonymously authenticated for security and privacy protection, with each node needing to have all incoming messages validated within an expiration...