arXiv Open Access 2023

Binary Mechanisms under Privacy-Preserving Noise

Farzad Pourbabaee Federico Echenique

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Abstrak

We study mechanism design for public-good provision under a noisy privacy-preserving transformation of individual agents' reported preferences. The setting is a standard binary model with transfers and quasi-linear utility. Agents report their preferences for the public good, which are randomly ``flipped,'' so that any individual report may be explained away as the outcome of noise. We study the tradeoffs between preserving the public decisions made in the presence of noise (noise sensitivity), pursuing efficiency, and mitigating the effect of noise on revenue.

Topik & Kata Kunci

econ.TH cs.GT

Penulis (2)

Farzad Pourbabaee

Federico Echenique

Format Sitasi

APA MLA BibTeX

Pourbabaee, F., Echenique, F. (2023). Binary Mechanisms under Privacy-Preserving Noise. https://arxiv.org/abs/2301.06967

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓