13 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Least Square Calibration for Peer Review
Sijun Tan, Jibang Wu, Xiaohui Bei +1
Peer review systems such as conference paper review often suffer from the issue of miscalibration. Previous works on peer review calibration usually only use the ordinal informatio…
cs.CR2021★ 1 cited
Morse-STF: Improved Protocols for Privacy-Preserving Machine Learning
Qizhi Zhang, Sijun Tan, Lichun Li +3
Secure multi-party computation enables multiple mutually distrusting parties to perform computations on data without revealing the data itself, and has become one of the core techn…
cs.CR2021★ 13 cited
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
Sijun Tan, Brian Knott, Yuan Tian +1
We introduce CryptGPU, a system for privacy-preserving machine learning that implements all operations on the GPU (graphics processing unit). Just as GPUs played a pivotal role in…