Gradient descent is an iterative optimization algorithm used to minimize a function by moving in the direction of steepest descent (the negative of the gradient). It's commonly used in machine ...

Linear regression is one of the fundamental tools in statistics and machine learning that allows modeling relationships between variables. It is widely used in data analysis, forecasting, and ...

Abstract: While side-channel attacks (SCAs) have become a significant threat to cryptographic algorithms, masking is considered as an effective countermeasure against SCAs. On the one hand, securely ...