Presented by: Ruichuan Chen
Authors: Ruichuan Chen, Istemi Ekin
Akkus, Paul Francis
SplitX is a high-performance private analytics system
resistant to answer pollution. It is designed under the assumption that
analysts and clients are potentially malicious while servers are honest.
The key factors differentiating SplitX from other analytics
systems are XOR encryption and query buckets. SplitX achieves high performance
in terms of bandwidth and computation by substituting cryptographic encryption
with XOR operation. In order to limit answer pollution, clients are restricted
to answer queries in binary format.
In the SplitX system, clients subscribe to the queries
published by the analysts. Clients split their answer and send them to mixes,
which add differentially private noise to the messages. Aggregators generate
query results by combining the outputs of the mixes. Double-splitting is used
at the mixes to guarantee privacy.
Q: What are the long-term incentives in using this system?
A: SplitX is highly relevant in the current scenario where users are increasingly concerned about privacy.
Q: What are the long-term incentives in using this system?
A: SplitX is highly relevant in the current scenario where users are increasingly concerned about privacy.
Q: SplitX uses splitting at several stages. What is the time
required per splitting?
A: Splitting involves XOR operation only. Since XOR is extremely efficient, the time required for splitting is negligible.
A: Splitting involves XOR operation only. Since XOR is extremely efficient, the time required for splitting is negligible.
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