Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning

Jiménez-López, Daniel, Rodríguez-Barroso +5

Differential Privacy (DP) is a key property to protect data and models from integrity attacks. In the Deep Learning (DL) field, it is commonly implemented through the Differentiall…