A Joint Exponential Mechanism For Differentially Private Top-k
Jennifer Gillenwater, Matthew Joseph, Andres Muñoz Medina, Mónica Ribero Diaz
2022年份
20被引次数
9顶会引用
摘要
We present a differentially private algorithm for releasing the sequence of elements with the highest counts from a data domain of elements. The algorithm is a"joint"instance of the exponential mechanism, and its output space consists of all length- sequences. Our main contribution is a method to sample this exponential mechanism in time and space . Experiments show that this approach outperforms existing pure differential privacy methods and improves upon even approximate differential privacy methods for moderate .
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引用它的顶会 Paper9
- Privacy-Preserving In-Context Learning for Large Language ModelsTong Wu, Ashwinee Panda, Jiachen T. Wang, Prateek MittalICLR 2024 · 被引用 58 次
- Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed AlternativesVincent Hanke, Tom Blanchard, Franziska Boenisch, Iyiola E. Olatunji 等NeurIPS 2024 · 被引用 27 次
- Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded MemoryXiaochen Li, Weiran Liu, Jian Lou, Yuan Hong 等SIGMOD 2024 · 被引用 13 次
- Better Private Linear Regression Through Better Private Feature SelectionTravis Dick, Jennifer Gillenwater, Matthew JosephNeurIPS 2023 · 被引用 7 次
- Differentially Private Prototypes for Imbalanced Transfer LearningDariush Wahdany, Matthew Jagielski, Adam Dziedzic, Franziska BoenischAAAI 2025 · 被引用 4 次
它引用的顶会 Paper5
- Permute-and-Flip: A new mechanism for differentially private selectionRyan McKenna, Daniel SheldonNeurIPS 2020 · 被引用 66 次
- Differentially Private Password Frequency ListsJeremiah Blocki, Anupam Datta, Joseph BonneauNDSS 2016 · 被引用 62 次
- Oneshot Differentially Private Top-k SelectionGang Qiao, Weijie J. Su, Li ZhangICML 2021 · 被引用 40 次
- Free Gap Information from the Differentially Private Sparse Vector and Noisy Max MechanismsZeyu Ding, Yuxin Wang, Danfeng Zhang, Dan KiferVLDB 2020 · 被引用 14 次
- Differentially Private QuantilesJennifer Gillenwater, Matthew Joseph, Alex KuleszaICML 2021 · 被引用 2 次
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