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Technical Perspective: Pricing information (and its implications)

Published: 27 November 2017 Publication History

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References

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Dwork, C., McSherry, F., Nissim, K. and Smith, A. Calibrating noise to sensitivity in private data analysis. In Proceedings of the 3rd Theory of Cryptography Conference, 2006, 265--284.
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Fleischer, L. and Lyu, Y.-H. Approximately optimal auctions for selling privacy when costs are correlated with data. In Proceedings of the ACM Conference on Electronic Commerce, 2012, 568--585.
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Ghosh, A. and Roth, A. Selling privacy at auction. Games and Economic Behavior (2015), 334--346.
[4]
Ghosh, A., Ligett, K., Roth, A. and Schoenebeck, G. Buying private data without verification. In Proceedings of the ACM Conference on Economics and Computation, 2014, 931--948.
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Kearns, M. Efficient noise-tolerant learning from statistical queries. J. ACM (1998), 983--1006.
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Nissim, K., Vadhan, S. and Xiao, D. Redrawing the boundaries on purchasing data from privacy-sensitive individuals. Innovations in Theoretical Computer Science (2014), 411--422.

Cited By

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  • (2022)A Willingness to Disclose Personal Information for Monetary Reward: A Study of Fitness Tracker Users in ThailandSage Open10.1177/2158244022109739912:2Online publication date: 20-May-2022
  • (2022)A Survey on Data Pricing: From Economics to Data ScienceIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2020.304592734:10(4586-4608)Online publication date: 1-Oct-2022
  • (2022)GQP: A Framework for Scalable and Effective Graph Query-based Pricing2022 IEEE 38th International Conference on Data Engineering (ICDE)10.1109/ICDE53745.2022.00163(1573-1585)Online publication date: May-2022
  • Show More Cited By

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  1. Technical Perspective: Pricing information (and its implications)

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    Published In

    cover image Communications of the ACM
    Communications of the ACM  Volume 60, Issue 12
    December 2017
    91 pages
    ISSN:0001-0782
    EISSN:1557-7317
    DOI:10.1145/3167461
    Issue’s Table of Contents
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 November 2017
    Published in CACM Volume 60, Issue 12

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    Cited By

    View all
    • (2022)A Willingness to Disclose Personal Information for Monetary Reward: A Study of Fitness Tracker Users in ThailandSage Open10.1177/2158244022109739912:2Online publication date: 20-May-2022
    • (2022)A Survey on Data Pricing: From Economics to Data ScienceIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2020.304592734:10(4586-4608)Online publication date: 1-Oct-2022
    • (2022)GQP: A Framework for Scalable and Effective Graph Query-based Pricing2022 IEEE 38th International Conference on Data Engineering (ICDE)10.1109/ICDE53745.2022.00163(1573-1585)Online publication date: May-2022
    • (2020)Online Pricing with Reserve Price Constraint for Personal Data MarketsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2020.3000262(1-1)Online publication date: 2020
    • (2019)Towards Model-based Pricing for Machine Learning in a Data MarketplaceProceedings of the 2019 International Conference on Management of Data10.1145/3299869.3300078(1535-1552)Online publication date: 25-Jun-2019
    • (2018)Unlocking the Value of PrivacyProceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3219819.3220013(2031-2040)Online publication date: 19-Jul-2018

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