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Programming language techniques for differential privacy

Authors:

Marco Gaboardi,

Benjamin PierceAuthors Info & Claims

ACM SIGLOG News, Volume 3, Issue 1

Pages 34 - 53

https://doi.org/10.1145/2893582.2893591

Published: 17 February 2016 Publication History

Abstract

Differential privacy is rigorous framework for stating and enforcing privacy guarantees on computations over sensitive data. Informally, differential privacy ensures that the presence or absence of a single individual in a database has only a negligible statistical effect on the computation's result. Many specific algorithms have been proved differentially private, but manually checking that a given program is differentially private can be subtle, tedious, or both. This approach becomes unfeasible when larger programs are considered.

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Cited By

Takisaka TZhang LWang CLiu J(2024)Lexicographic Ranking Supermartingales with Lazy Lower BoundsComputer Aided Verification10.1007/978-3-031-65633-0_19(420-442)Online publication date: 24-Jul-2024
https://dl.acm.org/doi/10.1007/978-3-031-65633-0_19
Chatterjee KKafshdar Goharshady ENovotný PZárevúcky JŽikelić Đ(2023)On Lexicographic Proof Rules for Probabilistic TerminationFormal Aspects of Computing10.1145/358539135:2(1-25)Online publication date: 23-Jun-2023
https://dl.acm.org/doi/10.1145/3585391
Xiao MLi MZhang J(2023)Locally Differentially Private Personal Data Markets Using Contextual Dynamic Pricing MechanismIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2023.323961520:6(5043-5055)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TDSC.2023.3239615
Show More Cited By

Programming language techniques for differential privacy
1. General and reference
  1. Cross-computing tools and techniques
2. Theory of computation
  1. Semantics and reasoning
    1. Program reasoning

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Information & Contributors

Information

Published In

cover image ACM SIGLOG News

ACM SIGLOG News Volume 3, Issue 1

January 2016

79 pages

EISSN:2372-3491

DOI:10.1145/2893582

Editor:
Andrzej Murawski
University of Warwick

Issue’s Table of Contents

Copyright © 2016 Authors.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 February 2016

Published in SIGLOG Volume 3, Issue 1

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Cited By

Takisaka TZhang LWang CLiu J(2024)Lexicographic Ranking Supermartingales with Lazy Lower BoundsComputer Aided Verification10.1007/978-3-031-65633-0_19(420-442)Online publication date: 24-Jul-2024
https://dl.acm.org/doi/10.1007/978-3-031-65633-0_19
Chatterjee KKafshdar Goharshady ENovotný PZárevúcky JŽikelić Đ(2023)On Lexicographic Proof Rules for Probabilistic TerminationFormal Aspects of Computing10.1145/358539135:2(1-25)Online publication date: 23-Jun-2023
https://dl.acm.org/doi/10.1145/3585391
Xiao MLi MZhang J(2023)Locally Differentially Private Personal Data Markets Using Contextual Dynamic Pricing MechanismIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2023.323961520:6(5043-5055)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TDSC.2023.3239615
Dagnino FPasquali F(2022)Logical Foundations of Quantitative EqualityProceedings of the 37th Annual ACM/IEEE Symposium on Logic in Computer Science10.1145/3531130.3533337(1-13)Online publication date: 2-Aug-2022
https://dl.acm.org/doi/10.1145/3531130.3533337
Liu DWang BZhang L(2022)Verifying Pufferfish Privacy in Hidden Markov ModelsVerification, Model Checking, and Abstract Interpretation10.1007/978-3-030-94583-1_9(174-196)Online publication date: 16-Jan-2022
https://dl.acm.org/doi/10.1007/978-3-030-94583-1_9
Cowan MDangwal DAlaghi ATrippel CLee VReagen BFreund SYahav E(2021)Porcupine: a synthesizing compiler for vectorized homomorphic encryptionProceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation10.1145/3453483.3454050(375-389)Online publication date: 19-Jun-2021
https://dl.acm.org/doi/10.1145/3453483.3454050
Dangwal DCowan MAlaghi ALee VReagen BTrippel C(2020)SoK: Opportunities for Software-Hardware-Security Codesign for Next Generation Secure ComputingProceedings of the 9th International Workshop on Hardware and Architectural Support for Security and Privacy10.1145/3458903.3458911(1-9)Online publication date: 17-Oct-2020
https://dl.acm.org/doi/10.1145/3458903.3458911
Barthe GChadha RJagannath VSistla AViswanathan MHermanns HZhang LKobayashi NMiller D(2020)Deciding Differential Privacy for Programs with Finite Inputs and OutputsProceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science10.1145/3373718.3394796(141-154)Online publication date: 8-Jul-2020
https://dl.acm.org/doi/10.1145/3373718.3394796
Sato TBarthe GGaboardi MHsu JKatsumata SBouyer P(2019)Approximate span liftingsProceedings of the 34th Annual ACM/IEEE Symposium on Logic in Computer Science10.5555/3470152.3470166(1-14)Online publication date: 24-Jun-2019
https://dl.acm.org/doi/10.5555/3470152.3470166
Near JDarais DAbuah CStevens TGaddamadugu PWang LSomani NZhang MSharma NShan ASong D(2019)Duet: an expressive higher-order language and linear type system for statically enforcing differential privacyProceedings of the ACM on Programming Languages10.1145/33605983:OOPSLA(1-30)Online publication date: 10-Oct-2019
https://dl.acm.org/doi/10.1145/3360598
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