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05/31/2023
Concentrated Geo-Privacy
This paper proposes concentrated geo-privacy (CGP), a privacy notion tha...
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01/10/2023
Change Propagation Without Joins
We revisit the classical change propagation framework for query evaluati...
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09/03/2022
Differential Privacy on Dynamic Data
A fundamental problem in differential privacy is to release a privatized...
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05/28/2022
Differentially Private Covariance Revisited
In this paper, we present three new error bounds, in terms of the Froben...
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11/12/2021
Frequency Estimation in the Shuffle Model with (Almost) a Single Message
We present a protocol in the shuffle model of differential privacy for t...
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11/04/2021
Universal Private Estimators
We present universal estimators for the statistical mean, variance, and ...
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09/30/2021
Secure Machine Learning over Relational Data
A closer integration of machine learning and relational databases has ga...
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06/01/2021
Instance-optimal Mean Estimation Under Differential Privacy
Mean estimation under differential privacy is a fundamental problem, but...
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05/12/2021
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries
Releasing the result size of conjunctive queries and graph pattern queri...
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04/05/2021
Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming
We study the fundamental problem of frequency estimation under both priv...
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02/11/2020
Infnote: A Decentralized Information Sharing Platform Based on Blockchain
Internet censorship has been implemented in several countries to prevent...
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09/17/2019
Communication-Efficient Weighted Sampling and Quantile Summary for GBDT
Gradient boosting decision tree (GBDT) is a powerful and widely-used mac...
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03/22/2019