UNSEEN: A Cross-Stack LLM Unlearning Defense against AR-LLM Social Engineering Attacks
Emerging AR-LLM-based Social Engineering attack (e.g., SEAR) is at the edge of posing great threats to real-world social life. In such AR-LLM-SE attack, the attacker can leverage AR (Augmented Reality) glass to capture the image and vocal information of the target, using the LLM to identify the target and generate the social profile, using the LLM agents to apply social engineering strategies for conversation suggestion to win the target trust and perform phishing afterwards. Current defensive a
Record details
Published: 25 April 2026
Source: arXiv
Category: Research
Topics: Military & security · Agents & autonomy
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (25 April 2026), “UNSEEN: A Cross-Stack LLM Unlearning Defense against AR-LLM Social Engineering Attacks,” evidence record 5377, https://ethics.ai/record/5377 (originally published by arXiv).
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