This repository includes the experiments that accompany the paper "Assessing the Impact of Membership Inference Attacks on Classical Machine Learning Algorithms", submitted to 1st International Workshop on Emerging Technologies to Deploy Secure and Reliable Edge Computing Networks, Systems and Services (Go2Edge).
- Python
- Numpy, Pandas, Scikit-learn
- Adversarial Robustness Toolbox
Datasets/ contains part of the datasets used.
Assessing-the-Impact-of-Membership-Inference-Attacks-on-Classical-Machine-Learning-Algorithms.ipynb contains the experiments performed.
Open the file with jupiter notebook or jupiter lab.
- Decision Tree (CART).
- Bagging Classifier.
- Random Forest.
- Extra-Trees.
- AdaBoost.
- Gradient Boosting.
- Logistic Regression.
- Support Vector Classification.