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SPECIAL: Synopsis Assisted Secure Collaborative Analytics
April 30, 2024, 4:11 a.m. | Chenghong Wang, Lina Qiu, Johes Bater, Yukui Luo
cs.CR updates on arXiv.org arxiv.org
Abstract: Secure collaborative analytics (SCA) enable the processing of analytical SQL queries across multiple owners' data, even when direct data sharing is not feasible. Although essential for strong privacy, the large overhead from data-oblivious primitives in traditional SCA has hindered its practical adoption. Recent SCA variants that permit controlled leakages under differential privacy (DP) show a better balance between privacy and efficiency. However, they still face significant challenges, such as potentially unbounded privacy loss, suboptimal query …
adoption analytical analytics arxiv cs.cr cs.db data data sharing enable large oblivious privacy sca sharing special sql synopsis
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