|
Poster
|
Tue 15:15
|
Breaking the Communication-Privacy-Accuracy Tradeoff with ff-Differential Privacy
Richeng Jin · Zhonggen Su · caijun zhong · Zhaoyang Zhang · Tony Quek · Huaiyu Dai
|
|
|
Poster
|
Wed 8:45
|
Decision Tree for Locally Private Estimation with Public Data
Yuheng Ma · Han Zhang · Yuchao Cai · Hanfang Yang
|
|
|
Workshop
|
|
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach
Karuna Bhaila · Wen Huang · Yongkai Wu · Xintao Wu
|
|
|
Poster
|
Tue 8:45
|
Offline Reinforcement Learning with Differential Privacy
Dan Qiao · Yu-Xiang Wang
|
|
|
Poster
|
Wed 15:00
|
Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy
Bonwoo Lee · Jeongyoun Ahn · Cheolwoo Park
|
|
|
Poster
|
Tue 15:15
|
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy
Zhongzheng Xiong · Xiaoyi Zhu · zengfeng Huang
|
|
|
Poster
|
Tue 15:15
|
On Computing Pairwise Statistics with Local Differential Privacy
Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi · Adam Sealfon
|
|
|
Workshop
|
|
RényiTester: A Variational Approach to Testing Differential Privacy
Weiwei Kong · Andres Munoz Medina · Mónica Ribero
|
|
|
Poster
|
Wed 8:45
|
Unbounded Differentially Private Quantile and Maximum Estimation
David Durfee
|
|
|
Workshop
|
|
Privacy Measurements in Tabular Synthetic Data: State of the Art and Future Research Directions
Alexander Boudewijn · Andrea Filippo Ferraris · Daniele Panfilo · Vanessa Cocca · Sabrina Zinutti · Karel De Schepper · Carlo Chauvenet
|
|
|
Workshop
|
|
On Consistent Bayesian Inference from Synthetic Data
Ossi Räisä · Joonas Jälkö · Antti Honkela
|
|
|
Poster
|
Wed 15:00
|
Dynamic Personalized Federated Learning with Adaptive Differential Privacy
Xiyuan Yang · Wenke Huang · Mang Ye
|
|
