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Bayesian Persuasion and Cryptography

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Abstract

Bayesian Persuasion assumes that a sender can commit ex ante to an information structure and then release the realized signal ex post. This paper asks when that commitment technology can itself be implemented. After observing the state, a sender who also observes the realized signal can suppress unfavorable draws even if every disclosed signal is verifiably correct. We define Receiver-Private Certified Bayesian Persuasion, a benchmark in which the receiver obtains the signal and a certificate of correct generation while the sender does not learn the realized branch of the experiment. The main theorem shows that this benchmark is equivalent in cryptographic power to secure two-party computation. Thus cryptography is not merely an implementation device for persuasion; when the sender must be prevented from changing the signal sent to the receiver, hiding the signal from the sender is necessary. In stress-test applications, the primitive removes ex post discretion over which realized disclosure reaches depositors.

Suggested Citation

  • Pablo D. Azar, 2026. "Bayesian Persuasion and Cryptography," Staff Reports 1194, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednsr:103177
    DOI: 10.59576/sr.1194
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    References listed on IDEAS

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    1. Titova, Maria & Zhang, Kun, 2025. "Persuasion with verifiable information," Journal of Economic Theory, Elsevier, vol. 230(C).
    2. Alonso, Ricardo & Zachariadis, Konstantinos E., 2024. "Persuading large investors," Journal of Economic Theory, Elsevier, vol. 222(C).
    3. Goldstein, Itay & Leitner, Yaron, 2018. "Stress tests and information disclosure," Journal of Economic Theory, Elsevier, vol. 177(C), pages 34-69.
    4. Nisan, Noam & Ronen, Amir, 2001. "Algorithmic Mechanism Design," Games and Economic Behavior, Elsevier, vol. 35(1-2), pages 166-196, April.
    5. James Best & Daniel Quigley, 2024. "Persuasion for the Long Run," Journal of Political Economy, University of Chicago Press, vol. 132(5), pages 1740-1791.
    6. Inostroza, Nicolas A. & Pavan, Alessandro, 2025. "Adversarial coordination and public information design," Theoretical Economics, Econometric Society, vol. 20(2), May.
    7. Itay Goldstein & Chong Huang, 2016. "Bayesian Persuasion in Coordination Games," American Economic Review, American Economic Association, vol. 106(5), pages 592-596, May.
    8. Crawford, Vincent P & Sobel, Joel, 1982. "Strategic Information Transmission," Econometrica, Econometric Society, vol. 50(6), pages 1431-1451, November.
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    Keywords

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    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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