91 citations · 493 across the 23 of their papers we have counts for
3 papers · 2 filters
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer
Hongyan Chang, Virat Shejwalkar, Reza Shokri +1
Collaborative (federated) learning enables multiple parties to train a model without sharing their private data, but through repeated sharing of the parameters of their local model…
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models
Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos
Models leak information about their training data. This enables attackers to infer sensitive information about their training sets, notably determine if a data sample was part of t…
Privacy Risks of Securing Machine Learning Models against Adversarial Examples
Liwei Song, Reza Shokri, Prateek Mittal
The arms race between attacks and defenses for machine learning models has come to a forefront in recent years, in both the security community and the privacy community. However, o…