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Affinity Workshop
Privacy-Preseving Federated Multi-Task Linear Regression: A One-shot Linear Mixing Approach Inspired by Graph Regularization
Harlin Lee
Workshop
Tue 2:45 SoK: Privacy-preserving Clustering (Extended Abstract)
Helen Möllering · Hossein Yalame · Thomas Schneider · Aditya Hegde
Poster
Fri 8:30 An Uncertainty Principle is a Price of Privacy-Preserving Microdata
John Abowd · Robert Ashmead · Ryan Cumings-Menon · Simson Garfinkel · Daniel Kifer · Philip Leclerc · William Sexton · Ashley Simpson · Christine Task · Pavel Zhuravlev
Workshop
Tue 12:15 Privacy-Aware Rejection Sampling
Jordan Awan · Vinayak Rao
Workshop
Privacy-Aware Rejection Sampling
Jordan Awan · Vinayak Rao
Workshop
SoK: Privacy-preserving Clustering (Extended Abstract)
Helen Möllering · Hossein Yalame · Aditya Hegde · Thomas Schneider
Workshop
Label Private Deep Learning Training based on Secure Multiparty Computation and Differential Privacy
Sen Yuan · Milan Shen · Ilya Mironov · Anderson Nascimento
Workshop
Sample-and-threshold differential privacy: Histograms and applications
Graham Cormode
Workshop
Tue 8:30 Invited talk: Helen Nissenbaum (Cornell Tech) --- Practical Privacy, Fairness, Ethics, Policy
Helen Nissenbaum
Workshop
An automatic differentiation system for the age of differential privacy
Dmitrii Usynin · Alexander Ziller · Moritz Knolle · Daniel Rueckert · Georgios Kaissis
Poster
Thu 8:30 Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms
Jeremy Seeman · Matthew Reimherr · Aleksandra Slavković
Workshop
Communication Efficient Federated Learning with Secure Aggregation and Differential Privacy
Wei-Ning Chen · Christopher Choquette-Choo · Peter Kairouz