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Quantifying the Robustness of Deep Neural Networks - Complex & Intelligent Systems

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DeepQuant

Towards the Quantification of Safety Risks in Deep Neural Networks

Datesets

(1) ACSC-Xu

(2) MNIST

(3) CIFAR-10

(4) ImageNet

Software

1: Matlab 2018b

2: Neural Network Toolbox

3: Image Processing Toolbox

4: Parallel Computing Toolbox

Run

Folder "ACSC_XU_NN_Robustness" contains two robustness metrics methods for ACSC_XU dataset.

Folder "Decision Reachability" contains ReLu and Tanh neural networks.

Folder "MNIST_NN_Uncertainty" contains the uncertainty examples for MNIST.

Sample Results

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Quantifying the Robustness of Deep Neural Networks - Complex & Intelligent Systems

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