DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows

Author:

Wang Yiping1ORCID,Wang Yanhao1ORCID,Chen Cen2ORCID

Affiliation:

1. East China Normal University, Shanghai, China

2. East China Normal University & The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Shanghai, China

Funder

National Natural Science Foundation of China

Open Research Fund of The State Key Laboratory of Blockchain and Data Security, Zhejiang University

Publisher

ACM

Reference44 articles.

1. A Smooth Binary Mechanism for Efficient Private Continual Observation;Andersson Joel Daniel;Advances in Neural Information Processing Systems,2023

2. Approximate counts and quantiles over sliding windows

3. Heavy hitters in streams and sliding windows

4. Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions;Ben-Eliezer Omri;Advances in Neural Information Processing Systems,2022

5. Jeremiah Blocki, Seunghoon Lee, Tamalika Mukherjee, and Samson Zhou. 2023. Differentially Private $L_2$-Heavy Hitters in the Sliding Window Model. In The Eleventh International Conference on Learning Representations. OpenReview.net.

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