Enamul Kabir

Trading off privacy, utility, and stability in privacy-preserving K-means clustering using an adaptive multi-objective memetic algorithm

Abstract Protecting sensitive information while maintaining data utility is a fundamental challenge in privacy-preserving data mining. Differential Privacy (DP)-based K -means clustering provides a principled solution by injecting noise through a privacy budget; however, determin...