Deep Learning Toolbox Verification Library

Verify and test robustness of deep learning networks
541 Downloads
Updated Wed, 13 Dec 2023 00:00:00 +0000
Deep Learning Toolbox Verification Library enables testing robustness properties of deep learning networks.
Use this library to:
  • Verify network robustness to adversarial examples (Since R2022b)
  • Estimate how sensitive the network predictions are to input perturbation (Since R2022b)
  • Create a distribution discriminator that separates data into in- and out-of-distribution (Since R2023a)
  • Detect out-of-distribution (ODD) data in neural networks (Since R2023a)
  • Generate C/C++ and CUDA code for out-of-distribution (runtime monitoring) (Since R2023a)
If you have download or installation problems, please contact Technical Support: https://www.mathworks.com/support/contact_us.html
MATLAB Release Compatibility
Created with R2022b
Compatible with R2022b to R2024a
Platform Compatibility
Windows macOS (Apple silicon) macOS (Intel) Linux

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