Machine Learning, Privacy, Differential Privacy, Data Analysis, Database.
went through the last article of this series, you already know that any randomized algorithm M can be ( ε, δ) differentially private algorithm, if it satisfies the properties of being one such. One of the core properties of that approach was to inject noise to the data itself, before doing any kind