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)
Please refer to the documentation here: https://www.mathworks.com/help/deeplearning/verification.html
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 CompatibilityWindows macOS (Apple silicon) macOS (Intel) Linux
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