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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
SoK: Privacy-preserving Clustering (Extended Abstract)
Helen Möllering · Hossein Yalame · Aditya Hegde · Thomas Schneider
Workshop
Tue 12:15 Privacy-Aware Rejection Sampling
Jordan Awan · Vinayak Rao
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
Workshop
Tue 8:30 Invited talk: Helen Nissenbaum (Cornell Tech) --- Practical Privacy, Fairness, Ethics, Policy
Helen Nissenbaum
Workshop
Tue 1:30 Invited talk: Emiliano de Cristofaro (University College London) --- Privacy in Machine Learning -- It's Complicated
Emiliano De Cristofaro
Affinity Workshop
Tue 11:30 On the Pitfalls of Label Differential Privacy
Andres Munoz Medina · Róbert Busa-Fekete · Umar Syed · Sergei Vassilvitskii
Workshop
Sample-and-threshold differential privacy: Histograms and applications
Graham Cormode
Workshop
Tight Accounting in the Shuffle Model of Differential Privacy
Antti Koskela · Mikko Heikkilä · Antti Honkela
Demonstration
Fri 8:35 Protopia AI: Taking on the Missing Link in AI Privacy and Data Protection
Byung Hoon Ahn · DoangJoo Synn · Masih Derkani · Eiman Ebrahimi · Hadi Esmaeilzadeh