Published August 21, 2024 | Version v1
Software Open

An SMT-Based Approach for Verifying Binarized Neural Networks: Artifact

Creators

  • 1. ROR icon Hebrew University of Jerusalem
  • 2. ROR icon Stanford University

Description

This repository includes an accompanying artifact to our paper: ``An SMT-Based Approach for Verifying Binarized Neural Networks'' (accepted to TACAS 2021)

 

For specific instructions, please unzip the artifact and read the README.txt file.

 

For technical questions --- contact us at guy.amir2@mail.huji.ac.il

Files

artifact.zip

Files (455.3 MB)

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