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SPECIAL: SynoPsis AssistEd Secure Collaborative AnaLytics
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AI
DOI：10.14778/3717755.3717764.png)
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Abstract
En 中文
Secure collaborative analytics (SCA) enables the processing of analytical SQL queries across data from multiple owners, even when direct data sharing is not possible. While traditional SCA provides strong privacy through data-oblivious methods, the significant overhead has limited its practical use. Recent SCA variants that allow controlled leakages under differential privacy (DP) strike balance between privacy and efficiency but still face challenges like unbounded privacy loss, costly execution plan, and lossy processing.
Journal
P
IF:
3.3
Papers:
563
Citations:
1.2W
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