A new approach to data differential privacy based on regression models under heteroscedasticity with applications to machine learning repository data

Article

Abstract: Generation of massive data in the digital age leads to possible violations of individual privacy. Th

Palabras claves:

anonymity, Confidentiality, Data breach and fitting, Linear and logistic regressions, Monte carlo simulation, Perturbations of data, Statistical consistency and modeling

Autores:

Carlos Martin-Barreiro, Leiva V., Manchini C., Ospina R.

Fuentes:

google

scopus