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Poster
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Tue 14:00
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Network change point localisation under local differential privacy
Mengchu Li · Tom Berrett · Yi Yu
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Poster
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Data Augmentation MCMC for Bayesian Inference from Privatized Data
Nianqiao Ju · Jordan Awan · Ruobin Gong · Vinayak Rao
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Poster
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Tue 14:00
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Shape And Structure Preserving Differential Privacy
Carlos Soto · Karthik Bharath · Matthew Reimherr · Aleksandra Slavković
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Poster
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Wed 14:00
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FLAIR: Federated Learning Annotated Image Repository
Congzheng Song · Filip Granqvist · Kunal Talwar
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Poster
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Tue 9:00
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Private Estimation with Public Data
Alex Bie · Gautam Kamath · Vikrant Singhal
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Poster
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Wed 14:00
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Differentially Private Covariance Revisited
Wei Dong · Yuting Liang · Ke Yi
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Poster
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Thu 9:00
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Momentum Aggregation for Private Non-convex ERM
Hoang Tran · Ashok Cutkosky
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Poster
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Tue 14:00
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When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits
Achraf Azize · Debabrota Basu
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Poster
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Thu 9:00
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In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning
JIAQI WANG · Roei Schuster · I Shumailov · David Lie · Nicolas Papernot
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Poster
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Thu 14:00
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Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy
Yi Liu · Ke Sun · Bei Jiang · Linglong Kong
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Poster
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Tue 14:00
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Differentially Private Online-to-batch for Smooth Losses
Qinzi Zhang · Hoang Tran · Ashok Cutkosky
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Poster
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Tue 9:00
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Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
Zhiqi Bu · Jialin Mao · Shiyun Xu
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