1.6k citations · 2.6k across the 33 of their papers we have counts for
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Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
Milad Nasr, Reza Shokri, Amir Houmansadr
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 compreh…
Machine Learning with Membership Privacy using Adversarial Regularization
Milad Nasr, Reza Shokri, Amir Houmansadr
Machine learning models leak information about the datasets on which they are trained. An adversary can build an algorithm to trace the individual members of a model's training dat…
Chiron: Privacy-preserving Machine Learning as a Service
Tyler Hunt, Congzheng Song, Reza Shokri +2
Major cloud operators offer machine learning (ML) as a service, enabling customers who have the data but not ML expertise or infrastructure to train predictive models on this data.…