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Poster
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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 |
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Workshop
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Privacy-Aware Rejection Sampling Jordan Awan · Vinayak Rao |
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Workshop
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SoK: Privacy-preserving Clustering (Extended Abstract) Helen Möllering · Hossein Yalame · Aditya Hegde · Thomas Schneider |
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Workshop
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Tue 12:15 |
Privacy-Aware Rejection Sampling Jordan Awan · Vinayak Rao |
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Affinity Workshop
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Privacy-Preseving Federated Multi-Task Linear Regression: A One-shot Linear Mixing Approach Inspired by Graph Regularization Harlin Lee |
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Workshop
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Tue 2:45 |
SoK: Privacy-preserving Clustering (Extended Abstract) Helen Möllering · Hossein Yalame · Thomas Schneider · Aditya Hegde |
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Workshop
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Tue 8:30 |
Invited talk: Helen Nissenbaum (Cornell Tech) --- Practical Privacy, Fairness, Ethics, Policy Helen Nissenbaum |
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Workshop
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Tue 1:30 |
Invited talk: Emiliano de Cristofaro (University College London) --- Privacy in Machine Learning -- It's Complicated Emiliano De Cristofaro |
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Affinity Workshop
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Tue 11:30 |
On the Pitfalls of Label Differential Privacy Andres Munoz Medina · Róbert Busa-Fekete · Umar Syed · Sergei Vassilvitskii |
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Workshop
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Sample-and-threshold differential privacy: Histograms and applications Graham Cormode |
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Workshop
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Tight Accounting in the Shuffle Model of Differential Privacy Antti Koskela · Mikko Heikkilä · Antti Honkela |
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Demonstration
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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 |