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Formal Verification of Differential Privacy

Published: 15 January 2018 Publication History

Abstract

Differential Privacy offers ways to answer statistical queries about sensitive data while providing strong provable privacy guarantees ensuring that the presence or absence of a single individual in the data has a negligible statistical effect on the query's result. In this talk I will introduce the basics of differential privacy and some of the fundamental mechanisms for building differentially private programs. I will then overview few different language-based approaches developed to help a programmer to certify her programs differentially private and to guarantee that they provide accurate answers.

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  1. Formal Verification of Differential Privacy

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    cover image ACM Conferences
    PLAS '18: Proceedings of the 13th Workshop on Programming Languages and Analysis for Security
    October 2018
    59 pages
    ISBN:9781450359931
    DOI:10.1145/3264820
    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: 15 January 2018

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    1. differential privacy
    2. formal verification

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    • Invited-talk

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    CCS '18
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    PLAS '18 Paper Acceptance Rate 2 of 4 submissions, 50%;
    Overall Acceptance Rate 43 of 77 submissions, 56%

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