Sijun Tan

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Naive Bayesian Classification

Factor Authentication

Privacy Preserving

Horizontally Partitioned Data

Top Venues

IACR Cryptol. ePrint Arch.

IEEE Symposium on Security and Privacy

Publications

Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph E. Gonzalez, Raluca Ada Popa
LLoCO: Learning Long Contexts Offline. CoRR (2024)
Darya Kaviani, Sijun Tan, Pravein Govindan Kannan, Raluca Ada Popa
Flock: A Framework for Deploying On-Demand Distributed Trust. IACR Cryptol. ePrint Arch. 2024 (2024)
Darya Kaviani, Sijun Tan, Pravein Govindan Kannan, Raluca Ada Popa
Flock: A Framework for Deploying On-Demand Distributed Trust. OSDI (2024)
Sijun Tan, Weikeng Chen, Ryan Deng, Raluca Ada Popa
MPCAuth: Multi-factor Authentication for Distributed-trust Systems. SP (2023)
Yu Zheng, Qizhi Zhang, Sherman S. M. Chow, Yuxiang Peng, Sijun Tan, Lichun Li, Shan Yin
Secure Softmax/Sigmoid for Machine-learning Computation. ACSAC (2023)
Mufan Xiang, Yongjian Li, Sijun Tan, Yongxin Zhao, Yiwei Chi
Parameterized Design and Formal Verification of Multi-ported Memory. ICECCS (2022)
Sijun Tan, Brian Knott, Yuan Tian, David J. Wu
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU. IACR Cryptol. ePrint Arch. 2021 (2021)
Hongjian Jiang, Yongjian Li, Sijun Tan, Yongxin Zhao
Encoding Induction Proof in Dafny. TASE (2021)
Sijun Tan, Jibang Wu, Xiaohui Bei, Haifeng Xu
Least Square Calibration for Peer Reviews. NeurIPS (2021)
Yongxin Zhao, Hongjian Jiang, Jin Lv, Sijun Tan, Yongjian Li
AnB2Murphi: A Translator for Converting AliceBob Specifications to Murphi. SEKE (2021)
Qizhi Zhang, Yuan Zhao, Lichun Li, JiaoFu Zhang, Qichao Zhang, Yashun Zhou, Dong Yin, Sijun Tan, Shan Yin
MORSE-STF: A Privacy Preserving Computation System. CoRR (2021)
Sijun Tan, Brian Knott, Yuan Tian, David J. Wu
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU. IEEE Symposium on Security and Privacy (2021)
Sijun Tan, Brian Knott, Yuan Tian, David J. Wu
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU. CoRR (2021)
Sijun Tan, Jibang Wu, Xiaohui Bei, Haifeng Xu
Least Square Calibration for Peer Review. CoRR (2021)