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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
SoK: Privacy-preserving Clustering (Extended Abstract)
Helen Möllering · Hossein Yalame · Aditya Hegde · Thomas Schneider
Workshop
Tue 2:45 SoK: Privacy-preserving Clustering (Extended Abstract)
Helen Möllering · Hossein Yalame · Thomas Schneider · Aditya Hegde
Workshop
Tue 12:15 Privacy-Aware Rejection Sampling
Jordan Awan · Vinayak Rao
Workshop
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
Poster
Tue 8:30 Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang · yaxing wang · Joost van de Weijer · Luis Herranz · Shangling Jui
Spotlight
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
Rishav Chourasia · Jiayuan Ye · Reza Shokri
Poster
Wed 0:30 Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis
JAEHOON LEE · Jihyeon Hyeong · Jinsung Jeon · Noseong Park · Jihoon Cho
Poster
Thu 8:30 Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization
Pranav Subramani · Nicholas Vadivelu · Gautam Kamath
Poster
Thu 8:30 Differentially Private Sampling from Distributions
Sofya Raskhodnikova · Satchit Sivakumar · Adam Smith · Marika Swanberg
Poster
Thu 0:30 Instance-optimal Mean Estimation Under Differential Privacy
Ziyue Huang · Yuting Liang · Ke Yi