├── .gitignore ├── CONTRIBUTING.md ├── LICENSE.md ├── README.md ├── book.jpg └── code ├── Chapter-10 ├── README.md └── Testing_and_Remediating_Bias_constrained.ipynb ├── Chapter-11 ├── Backdoor_testing.ipynb ├── Data_Poisoning.ipynb ├── README.md ├── Red_Teaming_an_XGBoost_model.ipynb └── Training_an_Overfit_and_a_Constrained_XGBoost_model.ipynb ├── Chapter-6 ├── Constrained_XGB_and_Post_Hoc_Explanations.ipynb ├── GLM,GAM_and_EBM_code_example.ipynb └── README.md ├── Chapter-7 & 9 ├── 1.Data Preparation.ipynb ├── 2.Transfer learning-Stage_1.ipynb ├── 3.Transfer learning-Stage_2.ipynb ├── 4.Post-Hoc Explanations.ipynb ├── 5.Adding Noise to images .ipynb ├── 6.Label_Randomization.ipynb ├── Adversarial Example Attacks.ipynb ├── README.md └── Retraining on Gaussian Noise.ipynb ├── Chapter-8 ├── README.md ├── Residual_Analysis_for_XGBoost.ipynb ├── Selecting a Better XGBoost Model.ipynb ├── Sensitivity_Analysis_for_XGBoost_Adversarial_Example_Search.ipynb └── Stress_testing_XGBoost.ipynb └── 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