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cs.CR2025★ 2 cited
Kangaroo: A Private and Amortized Inference Framework over WAN for Large-Scale Decision Tree Evaluation
Wei Xu, Hui Zhu, Yandong Zheng +5
With the rapid adoption of Models-as-a-Service, concerns about data and model privacy have become increasingly critical. To solve these problems, various privacy-preserving inferen…
cs.CR2021
Achieve Efficient Position-Heap-based Privacy-Preserving Substring-of-Keyword Query over Cloud
Fan Yin, Rongxing Lu, Yandong Zheng +3
The cloud computing technique, which was initially used to mitigate the explosive growth of data, has been required to take both data privacy and users' query functionality into co…