INSPIRE: in-storage private information retrieval via protocol and architecture co-design
Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
2022年份
24被引次数
11顶会引用
摘要
Private Information Retrieval (PIR) plays a vital role in secure, database-centric applications. However, existing PIR protocols explore a massive working space containing hundreds of GiBs of query and database data. As a consequence, PIR performance is severely bounded by storage communication, making it far from practical for real-world deployment.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
引用它的顶会 Paper11
- Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real SystemHongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park 等HPCA 2024 · 被引用 26 次
- NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data ProcessingYitu Wang, Shiyu Li, Qilin Zheng, Linghao Song 等ISCA 2024 · 被引用 26 次
- Pantheon: Private Retrieval from Public Key-Value StoreIshtiyaque Ahmad, Divyakant Agrawal, Amr El Abbadi, Trinabh GuptaVLDB 2023 · 被引用 23 次
- GPU-based Private Information Retrieval for On-Device Machine Learning InferenceMaximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng 等ASPLOS 2024 · 被引用 11 次
- PreSto: An In-Storage Data Preprocessing System for Training Recommendation ModelsYunjae Lee, Hyeseong Kim, Minsoo RhuISCA 2024 · 被引用 8 次
相关 Paper
- Communication-efficient, Fault Tolerant PIR over Erasure Coded StorageAndrew Park, Trevor Leong, Francisco Maturana, Wenting Zheng 等S&P 2024 · 被引用 2 次
- Batched Differentially Private Information RetrievalKinan Dak Albab, Rawane Issa, Mayank Varia, Kalman GraffiUSENIX Security 2022
- Cohort: Decentralized PIRJonathan Weiss, Yossi GiladSOSP 2026
- Vectorized Batch Private Information RetrievalMuhammad Haris Mughees, Ling RenS&P 2023
- Secret-Key PIR from Random Linear CodesCaicai Chen, Yuval Ishai, Tamer Mour, Alon RosenSTOC 2026 · 被引用 6 次
