Undetectable Conversations Between AI Agents via Pseudorandom Noise-Resilient Key Exchange
AI agents are increasingly deployed to interact with other agents on behalf of users and organizations. We ask whether two such agents, operated by different entities, can carry out a parallel secret conversation while still producing a transcript that is computationally indistinguishable from an honest interaction, even to a strong passive auditor that knows the full model descriptions, the protocol, and the agents' private contexts. Building on recent work on watermarking and steganography for LLMs, we first show that if the parties possess an interaction-unique secret key, they can facilitate an optimal-rate covert conversation: the hidden conversation can exploit essentially all of th...
| Authors | Vinod Vaikuntanathan, Or Zamir |
|---|---|
| Primary category | cs.CR |
| Published | 6 April 2026 |
| Last updated at source | 6 April 2026 |
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