When approximate design for fast homomorphic computation provides differential privacy guarantees

Arnaud Grivet Sébert, Martin Zuber, Oana Stan +2

While machine learning has become pervasive in as diversified fields as industry, healthcare, social networks, privacy concerns regarding the training data have gained a critical i…