Over the last decades, differential privacy (DP) has become a standard notion of privacy. It
allows to measure how much sensitive information an adversary could infer from a result …

The purpose of this PhD is to design protocols to collaboratively train machine learning
models while keeping the training data private. To do so, we focused on two privacy tools …