@inproceedings{33e39227d5404e5495f5936632d206e7,
title = "Data Curation from Privacy-Aware Agents",
abstract = "A data curator would like to collect data from privacy-aware agents. The collected data will be used for the benefit of all agents. Can the curator incentivize the agents to share their data truthfully? Can he guarantee that truthful sharing will be the unique equilibrium? Can he provide some stability guarantees on such equilibrium? We study necessary and sufficient conditions for these questions to be answered positively and complement these results with corresponding data collection protocols for the curator. Our results account for a broad interpretation of the notion of privacy awareness. The full version of this paper is available at https://arxiv.org/abs/2207.06929.",
keywords = "Mechanism design, Privacy, Unique equilibrium",
author = "Roy Shahmoon and Rann Smorodinsky and Moshe Tennenholtz",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 15th International Symposium on Algorithmic Game Theory, SAGT 2022 ; Conference date: 12-09-2022 Through 15-09-2022",
year = "2022",
doi = "10.1007/978-3-031-15714-1_21",
language = "الإنجليزيّة",
isbn = "9783031157134",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "366--382",
editor = "Panagiotis Kanellopoulos and Maria Kyropoulou and Alexandros Voudouris",
booktitle = "Algorithmic Game Theory - 15th International Symposium, SAGT 2022, Proceedings",
address = "ألمانيا",
}