10 citations · 20 across the 7 of their papers we have counts for
4 papers · 1 filter
How Would Oblivious Memory Boost Graph Analytics on Trusted Processors?
Jiping Yu, Xiaowei Zhu, Kun Chen +4
Trusted processors provide a way to perform joint computations while preserving data privacy. To overcome the performance degradation caused by data-oblivious algorithms to prevent…
Privacy Preserving Ultra-Short-term Wind Power Prediction Based on Secure Multi Party Computation
Hang Fan, Xiaoyu Fan, Tianyi Hao +6
Mining the spatial and temporal correlation of wind farm output data is beneficial for enhancing the precision of ultra-short-term wind power prediction. However, if the wind farms…
NFGen: Automatic Non-linear Function Evaluation Code Generator for General-purpose MPC Platforms
Xiaoyu Fan, Kun Chen, Guosai Wang +3
Due to the absence of a library for non-linear function evaluation, so-called general-purpose secure multi-party computation (MPC) are not as ''general'' as MPC programmers expect.…
PPCA: Privacy-preserving Principal Component Analysis Using Secure Multiparty Computation(MPC)
Xiaoyu Fan, Guosai Wang, Kun Chen +2
Privacy-preserving data mining has become an important topic. People have built several multi-party-computation (MPC)-based frameworks to provide theoretically guaranteed privacy,…