sairajindroju/Membership-Inference-Attack

Developed a privacy attack assessing individual data usage in model training. Implemented diverse shadow models (XGBoost, Random Forest, Linear Regression, Perceptron, AdaBoost, SVM, Hist Gradient Boosting) to evaluate data privacy in machine learning. Proficient in data manipulation and comprehensive data privacy assessment methodologies.

Jupyter Notebook