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A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy

Summary: Neural approach uses a variational auto-encoder to sanitize spatio-temporal data under user-level DP, reducing DP noise without sacrificing utility. Extensive experiments on real data show superior accuracy and privacy tradeoffs versus benchmarks and high-budget releases. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6524
Venue
SIGMOD
Year
2023
Pagerank
4.6931334e-05
Overall Rank
7,624 | 46.97%
DOI
10.1145/3588701

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