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April 29, 2026 · 0 shares
Adopts a cautious, defense-oriented bias that foregrounds AR-LLM social engineering risks, emphasizes ethical safeguards and privacy, acknowledges current methodological bottlenecks, and presents PhySE as a rigorous countermeasure.
Abstract describing the threat of AR-LLM-based social engineering and a defense framework PhySE, with empirical evaluation, ethical considerations, and a focus on privacy.
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