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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…
DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning
Milad Nasr, Alireza Bahramali, Amir Houmansadr
Flow correlation is the core technique used in a multitude of deanonymization attacks on Tor. Despite the importance of flow correlation attacks on Tor, existing flow correlation t…
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…