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alpha-beta-CROWN - AI Model Development Tool

Overview

alpha-beta-CROWN is an efficient, scalable, GPU-accelerated neural network verifier that uses linear bound propagation and branch-and-bound methods. It provides provable robustness guarantees against adversarial attacks and can verify properties such as Lyapunov stability; it was a VNN-COMP winning solution from 2021–2024.

Key Features

  • GPU-accelerated verification for improved throughput
  • Linear bound propagation for tight certified bounds
  • Branch-and-bound methods to improve verification completeness
  • Provable robustness guarantees against adversarial attacks
  • Verification of control-theoretic properties like Lyapunov stability
  • Efficient and scalable to larger neural networks
  • VNN-COMP winning solution (2021–2024)

Ideal Use Cases

  • Certify adversarial robustness of perception models
  • Verify Lyapunov stability for control systems and neural controllers
  • Benchmark and compare neural network verifiers
  • Integrate into verification pipelines for safety-critical systems
  • Research on formal robustness and verification methods

Getting Started

  • Clone the repository from GitHub
  • Install project dependencies and GPU-enabled libraries
  • Build or install the verifier following README instructions
  • Run included examples on sample models
  • Use provided scripts to verify desired model properties
  • Consult repository documentation for advanced configuration

Pricing

No pricing information provided in the supplied tool data; check the GitHub repository for license and distribution details.

Limitations

  • Focused on neural network verification, not general model training
  • Best performance uses a GPU; CPU-only runs may be slower

Key Information

  • Category: Model Development
  • Type: AI Model Development Tool
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