The primary goal of this project is to explore the effectiveness of linear machine learning models, specifically LinearSVC and Logistic Regression, in cracking advanced COCO PUFs. Additionally, we ...

The model used in this project is a Logistic Regression classifier, which is suitable for binary classification tasks. Logistic Regression predicts the probability that a given input point belongs to ...