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Hierarchical Stochastic SAT and Quality Assessment of Logic Locking

Authors Christoph Scholl , Tobias Seufert , Fabian Siegwolf

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Author Details

Christoph Scholl
  • Department of Computer Science, University of Freiburg, Germany
Tobias Seufert
  • Department of Computer Science, University of Freiburg, Germany
Fabian Siegwolf
  • Department of Computer Science, University of Freiburg, Germany

Funding

This work was supported by the German Research Foundation (DFG) within the project SUPRA (SCHO 894/7-1).

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Christoph Scholl, Tobias Seufert, and Fabian Siegwolf. Hierarchical Stochastic SAT and Quality Assessment of Logic Locking. In 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, pp. 24:1-24:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/LIPIcs.SAT.2024.24

Abstract

Motivated by the application of quality assessment of logic locking we introduce Hierarchical Stochastic SAT (HSSAT) which generalizes Stochastic SAT (SSAT). We look into the complexity of HSSAT and for solving HSSAT formulas we provide a prototype solver which computes exact evaluation results (i.e., without any approximation and without any imprecision caused by numerical rounding errors). Finally, we perform an intensive experimental evaluation of our HSSAT solver in the context of quality assessment of logic locking.

Subject Classification

ACM Subject Classification
  • Theory of computation → Logic
  • Theory of computation → Automated reasoning
Keywords
  • Stochastic Boolean Satisfiability
  • Hierarchical Stochastic SAT
  • Binary Decision Diagrams
  • Decision Procedure

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