2 papers
cs.CR2026
On the Vulnerability of FHE Computation to Silent Data Corruption
Jianan Mu, Ge Yu, Zhaoxuan Kan +6
Fully Homomorphic Encryption (FHE) is rapidly emerging as a promising foundation for privacy-preserving cloud services, enabling computation directly on encrypted data. As FHE impl…
cs.CR2025
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…