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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
Privacy-Aware Rejection Sampling
Jordan Awan · Vinayak Rao
Workshop
Tue 12:15 Privacy-Aware Rejection Sampling
Jordan Awan · Vinayak Rao
Workshop
Tue 2:45 SoK: Privacy-preserving Clustering (Extended Abstract)
Helen Möllering · Hossein Yalame · Thomas Schneider · Aditya Hegde
Affinity Workshop
Privacy-Preseving Federated Multi-Task Linear Regression: A One-shot Linear Mixing Approach Inspired by Graph Regularization
Harlin Lee
Workshop
SoK: Privacy-preserving Clustering (Extended Abstract)
Helen Möllering · Hossein Yalame · Aditya Hegde · Thomas Schneider
Workshop
Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy
Rahul Singh
Workshop
Label Private Deep Learning Training based on Secure Multiparty Computation and Differential Privacy
Sen Yuan · Milan Shen · Ilya Mironov · Anderson Nascimento
Workshop
ABY2.0: New Efficient Primitives for STPC with Applications to Privacy in Machine Learning (Extended Abstract)
Arpita Patra · Hossein Yalame · Thomas Schneider · Ajith Suresh
Workshop
Feature-level privacy loss modelling in differentially private machine learning
Dmitrii Usynin · Alexander Ziller · Moritz Knolle · Daniel Rueckert · Georgios Kaissis
Workshop
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour · Igor Shilov · Alexandre Sablayrolles · Karthik Prasad · Mani Malek Esmaeili · John Nguyen · Sayan Ghosh · Akash Bharadwaj · Jessica Zhao · Graham Cormode · Ilya Mironov
Workshop
Differential Privacy via Group Shuffling
Amir Mohammad Abouei · Clement Canonne