- Datasets: Contains the datasets of previously calculated critical epsilon values. These are used in the experiments
- Experiments: Contains the jupyter notebooks where the experiments are run and plots are made
- Figures: Contains the plots that are made in the experiments
- Helper: Contains code that is not part of the main methods but is required. E.g. for processing and importing the datasets
- Method: Contains the code for all the main methods that are used in the experiments
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Second thesis for my master, this thesis is in Neural Network Verification. The goal is to use the (critical) epsilon framework to make a metric that can tell you the robustness of a neural network
lionelkiel/Robustness-Metric
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Second thesis for my master, this thesis is in Neural Network Verification. The goal is to use the (critical) epsilon framework to make a metric that can tell you the robustness of a neural network
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