Sparsity in neural networks can improve their privacy

This article measures how sparsity can make neural networks more robust to\nmembership inference attacks. The obtained empirical results show that sparsity\nimproves the privacy of the network, while preserving comparable performances\non the task at hand. This empirical study completes and extends existing\nliterature.\n