ACF: A Collaborative Framework for Agent Covert Communication under Cognitive Asymmetry
As generative artificial intelligence evolves, autonomous agent networks present a powerful paradigm for interactive covert communication. However, because agents dynamically update internal memories via environmental interactions, existing methods face a critical structural vulnerability: cognitive asymmetry. Conventional approaches demand strict cognitive symmetry, requiring identical sequence prefixes between the encoder and decoder. In dynamic deployments, inevitable prefix discrepancies des
Record details
Published: 9 April 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 14 July 2026
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ethics.ai (9 April 2026), “ACF: A Collaborative Framework for Agent Covert Communication under Cognitive Asymmetry,” evidence record 6122, https://ethics.ai/record/6122 (originally published by arXiv).
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