Comprehensive Privacy Analysis of Deep Learning

Comprehensive Privacy Analysis of Deep Learning - Milad Nasr Presented at the 2019 IEEE Symposium on Security & Privacy May 20–22, 2019 San Francisco, CA Deep neural networks are susceptible to various inference attacks as they remember information about their training data. We design white-box inference attacks to perform a comprehensive privacy analysis of deep learning models. We measure the privacy leakage through parameters of fully trained models as