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20152023
most citedTowards Proving the Adversarial Robustness of Deep Neural Networks

119 citations · 465 across the 38 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.PL2023

PEak: A Single Source of Truth for Hardware Design and Verification

Caleb Donovick, Ross Daly, Jackson Melchert +4

Domain-specific languages for hardware can significantly enhance designer productivity, but sometimes at the cost of ease of verification. On the other hand, ISA specification lang…

cs.LO2023★ 1 cited

Combining Finite Combination Properties: Finite Models and Busy Beavers

Guilherme Toledo, Yoni Zohar, Clark Barrett

This work is a part of an ongoing effort to understand the relationships between properties used in theory combination. We here focus on including two properties that are related t…

cs.DC2023

Partitioning Strategies for Distributed SMT Solving

Amalee Wilson, Andres Noetzli, Andrew Reynolds +3

For many users of Satisfiability Modulo Theories (SMT) solvers, the solver's performance is the main bottleneck in their application. One promising approach for improving performan…

cs.LO2023★ 1 cited

Combining Combination Properties: An Analysis of Stable Infiniteness, Convexity, and Politeness

Guilherme Vicentin de Toledo, Yoni Zohar, Clark Barrett

We make two contributions to the study of theory combination in satisfiability modulo theories. The first is a table of examples for the combinations of the most common model-theor…

cs.LO2023

DNN Verification, Reachability, and the Exponential Function Problem

Omri Isac, Yoni Zohar, Clark Barrett +1

Deep neural networks (DNNs) are increasingly being deployed to perform safety-critical tasks. The opacity of DNNs, which prevents humans from reasoning about them, presents new saf…