On the Power of Multiple Anonymous Messages: Frequency Estimation and Selection in the Shuffle Model of Differential Privacy
Badih Ghazi, Noah Golowich, Ravi Kumar, Rasmus Pagh, Ameya Velingker
2021年份
34被引次数
21顶会引用
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- User-Level Differentially Private Learning via Correlated SamplingBadih Ghazi, Ravi Kumar, Pasin ManurangsiNeurIPS 2021 · 被引用 45 次
- Improved Utility Analysis of Private CountSketchRasmus Pagh, Mikkel ThorupNeurIPS 2022 · 被引用 25 次
- Distributed, Private, Sparse Histograms in the Two-Server ModelJames Bell, Adrià Gascón, Badih Ghazi, Ravi Kumar 等CCS 2022 · 被引用 19 次
- Privacy Amplification via Shuffling: Unified, Simplified, and TightenedShaowei Wang, Yun Peng, Jin Li, Zikai Wen 等VLDB 2024 · 被引用 15 次
- Transfer Learning In Differential Privacy's Hybrid-ModelRefael Kohen, Or SheffetICML 2022 · 被引用 6 次
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