Checking δ-Satisfiability of Reals with Integrals

Many synthesis and verification problems can be reduced to determining the truth of formulas over the real numbers. These formulas often involve constraints with integrals in them. To this end, we extend the framework of δ-decision procedures with techniques for handling integrals of user-specified real functions. We implement this decision procedure in the tool ∫dReal, which is built on top of dReal. We evaluate ∫dReal on a suite of problems that include formulas verifying the fairness of algorithms and the privacy and the utility of privacy mechanisms and formulas that synthesize parameters for the desired utility of privacy mechanisms. The performance of the tool in these experiments demonstrates the effectiveness of ∫dReal.

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Publication Details

Journal
Proceedings of the ACM on Programming Languages
Published
2025-04-09
DOI
https://doi.org/10.1145/3720446
Citations
1
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
2.48
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Checking δ-Satisfiability of Reals with Integrals

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Checking δ-Satisfiability of Reals with Integrals

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article en
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Abstract

Many synthesis and verification problems can be reduced to determining the truth of formulas over the real numbers. These formulas often involve constraints with integrals in them. To this end, we extend the framework of δ-decision procedures with techniques for handling integrals of user-specified real functions. We implement this decision procedure in the tool ∫dReal, which is built on top of dReal. We evaluate ∫dReal on a suite of problems that include formulas verifying the fairness of algorithms and the privacy and the utility of privacy mechanisms and formulas that synthesize parameters for the desired utility of privacy mechanisms. The performance of the tool in these experiments demonstrates the effectiveness of ∫dReal.

Proceedings of the ACM on Programming LanguagesVol. 9(OOPSLA1)
University of Illinois Urbana-Champaign (US), University of Illinois Chicago (US), Medical Discovery Partners (United States) (US), University of Missouri (US)
Openalex Percentile: Top 11%
Cryptography and Data Security
2.48
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