Mikhail Baranchuk

Mikhail Baranchuk is an AI safety researcher and software engineer currently working in distributed computing at Google. He holds an M.S. in Computer Science from the University of Oxford and a B.Sc. in Statistics and Computer Science from McGill University (Class of 2022). At Oxford, he completed a master's thesis titled "Error Correction for Perfectly Secure Generative Steganography on Arbitrary Covertext" (2023). He is best known for co-authoring "Secret Collusion among AI Agents: Multi-Agent Deception via Steganography," published at NeurIPS 2024, which was the first work to formally investigate secret collusion among frontier foundation models and evaluate steganographic capabilities in multi-agent LLM setups. His research interests include complex systems, multi-agent AI, and AI safety. He has previously worked at Morgan Stanley, National Bank of Canada, and Nuance-Microsoft, and received a grant to further research AI collusion mitigation strategies and develop secure steganographic techniques.

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