11 citations · 31 across the 14 of their papers we have counts for
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cs.LG2026
Shuffling-Aware Optimization for Private Vector Mean Estimation
Shun Takagi, Seng Pei Liew
We study -dimensional unbiased mean estimation in the single-message shuffle model, where each user sends a single privatized message and the analyzer only observes the shuffled…
cs.DS2026
Analysis of Shuffling Beyond Pure Local Differential Privacy
Shun Takagi, Seng Pei Liew
Shuffling is a powerful way to amplify privacy of a local randomizer in private distributed data analysis. Most existing analyses of how shuffling amplifies privacy are based on th…
cs.CR2026
DPSQL+: A Differentially Private SQL Library with a Minimum Frequency Rule
Tomoya Matsumoto, Shokichi Takakura, Shun Takagi +1
SQL is the de facto interface for exploratory data analysis; however, releasing exact query results can expose sensitive information through membership or attribute inference attac…