PhySE combines VLM pre-training for fast social context profiling with a dynamic psychological agent to overcome delays and static tactics in AR-LLM social engineering attacks, tested in a 60-person user study.
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UNSEEN combines AR access control, LLM unlearning to suppress profiles, and agent guardrails to defend against AR-LLM social engineering attacks, tested in a 60-person user study with 360 conversations.
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PhySE: A Psychological Framework for Real-Time AR-LLM Social Engineering Attacks
PhySE combines VLM pre-training for fast social context profiling with a dynamic psychological agent to overcome delays and static tactics in AR-LLM social engineering attacks, tested in a 60-person user study.
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UNSEEN: A Cross-Stack LLM Unlearning Defense against AR-LLM Social Engineering Attacks
UNSEEN combines AR access control, LLM unlearning to suppress profiles, and agent guardrails to defend against AR-LLM social engineering attacks, tested in a 60-person user study with 360 conversations.