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deep learning toolbox verification library

作者:

verify and test robustness of deep learning networks

520.0 次下载

更新时间 2023/12/13

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:

if you have download or installation problems, please contact technical support:

创建方式 r2022b

兼容 r2022b 到 r2024a 的版本

windows macos (apple 芯片) macos (intel) linux

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