Academic Journal

A Linear Type System for L^p-Metric Sensitivity Analysis

التفاصيل البيبلوغرافية
العنوان: A Linear Type System for L^p-Metric Sensitivity Analysis
المؤلفون: Sannier, Victor, Baillot, Patrick
المساهمون: Victor Sannier and Patrick Baillot
بيانات النشر: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
سنة النشر: 2024
المجموعة: DROPS - Dagstuhl Research Online Publication Server (Schloss Dagstuhl - Leibniz Center for Informatics )
مصطلحات موضوعية: type system, linear logic, sensitivity, vector metrics, differential privacy, lambda-calculus, functional programming, denotational semantics
الوصف: When working in optimisation or privacy protection, one may need to estimate the sensitivity of computer programs, i.e., the maximum multiplicative increase in the distance between two inputs and the corresponding two outputs. In particular, differential privacy is a rigorous and widely used notion of privacy that is closely related to sensitivity. Several type systems for sensitivity and differential privacy based on linear logic have been proposed in the literature, starting with the functional language Fuzz. However, they are either limited to certain metrics (L¹ and L^∞), and thus to the associated privacy mechanisms, or they rely on a complex notion of type contexts that does not interact well with operational semantics. We therefore propose a graded linear type system - inspired by Bunched Fuzz [{w}under et al., 2023] - called Plurimetric Fuzz that handles L^p vector metrics (for 1 ≤ p ≤ +∞), uses standard type contexts, gives reasonable bounds on sensitivity, and has good metatheoretical properties. We also provide a denotational semantics in terms of metric complete partial orders, and translation mappings from and to Fuzz.
نوع الوثيقة: article in journal/newspaper
conference object
وصف الملف: application/pdf
اللغة: English
Relation: Is Part Of LIPIcs, Volume 299, 9th International Conference on Formal Structures for Computation and Deduction (FSCD 2024); https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSCD.2024.12
DOI: 10.4230/LIPIcs.FSCD.2024.12
الاتاحة: https://doi.org/10.4230/LIPIcs.FSCD.2024.12
https://nbn-resolving.org/urn:nbn:de:0030-drops-203412
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSCD.2024.12
Rights: https://creativecommons.org/licenses/by/4.0/legalcode
رقم الانضمام: edsbas.88FFDB7
قاعدة البيانات: BASE
الوصف
DOI:10.4230/LIPIcs.FSCD.2024.12