Wei Dong

Orcid: 0000-0002-0394-4125

Affiliations:
  • Hong Kong University of Science and Technology, Hong Kong, SAR, China


According to our database1, Wei Dong authored at least 15 papers between 2021 and 2024.

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Bibliography

2024
DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System.
Proc. VLDB Endow., August, 2024

Continual Observation of Joins under Differential Privacy.
Proc. ACM Manag. Data, 2024

Secure Query Processing with Linear Complexity.
CoRR, 2024

Instance-optimal Clipping for Summation Problems in the Shuffle Model of Differential Privacy.
CoRR, 2024

2023
Confidence Intervals for Private Query Processing.
Proc. VLDB Endow., November, 2023

Query Evaluation under Differential Privacy.
SIGMOD Rec., September, 2023

R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys.
SIGMOD Rec., 2023

Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy.
Proc. ACM Manag. Data, 2023

Continual Observation under User-level Differential Privacy.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Universal Private Estimators.
Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2023

2022
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries.
Proceedings of the PODS '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Differentially Private Covariance Revisited.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Releasing Private Data for Numerical Queries.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Shifted Inverse: A General Mechanism for Monotonic Functions under User Differential Privacy.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
Residual Sensitivity for Differentially Private Multi-Way Joins.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021


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