• Trust, belief, authority, signaling, and deception as security-relevant system properties
• Adversarial threat modeling for social engineering attacks
• Measurement, metrics, and empirical evaluation of trust and susceptibility
• AI-mediated social engineering (LLMs, autonomous agents, synthetic personas)
• Detection and mitigation systems for influence and deception
• Human-in-the-loop and organizational defenses
• Simulation, agent-based models, and adversarial games
• Economic, strategic, and institutional dimensions of trust failure
• Policy, governance, and ethics grounded in technical threat models

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