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Sijun Tan
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2020 – today
- 2024
- [c9]Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph Gonzalez, Raluca A. Popa:
LLoCO: Learning Long Contexts Offline. EMNLP 2024: 17605-17621 - [c8]Darya Kaviani, Sijun Tan, Pravein Govindan Kannan, Raluca Ada Popa:
Flock: A Framework for Deploying On-Demand Distributed Trust. OSDI 2024: 721-743 - [i7]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 abs/2404.07979 (2024) - [i6]Sijun Tan, Siyuan Zhuang, Kyle Montgomery, William Y. Tang, Alejandro Cuadron, Chenguang Wang, Raluca Ada Popa, Ion Stoica:
JudgeBench: A Benchmark for Evaluating LLM-based Judges. CoRR abs/2410.12784 (2024) - [i5]Darya Kaviani, Sijun Tan, Pravein Govindan Kannan, Raluca Ada Popa:
Flock: A Framework for Deploying On-Demand Distributed Trust. IACR Cryptol. ePrint Arch. 2024: 892 (2024) - 2023
- [c7]Yu Zheng
, Qizhi Zhang
Secure Softmax/Sigmoid for Machine-learning Computation. ACSAC 2023: 463-476 - [c6]Sijun Tan, Weikeng Chen, Ryan Deng, Raluca Ada Popa
MPCAuth: Multi-factor Authentication for Distributed-trust Systems. SP 2023: 829-847 - 2022
- [c5]Mufan Xiang, Yongjian Li, Sijun Tan, Yongxin Zhao, Yiwei Chi:
Parameterized Design and Formal Verification of Multi-ported Memory. ICECCS 2022: 33-41 - 2021
- [c4]Sijun Tan, Jibang Wu, Xiaohui Bei, Haifeng Xu:
Least Square Calibration for Peer Reviews. NeurIPS 2021: 27069-27080 - [c3]Yongxin Zhao, Hongjian Jiang, Jin Lv, Sijun Tan, Yongjian Li:
AnB2Murphi: A Translator for Converting AliceBob Specifications to Murphi. SEKE 2021: 108-113 - [c2]Sijun Tan, Brian Knott, Yuan Tian, David J. Wu:
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU. SP 2021: 1021-1038 - [c1]Hongjian Jiang, Yongjian Li, Sijun Tan, Yongxin Zhao:
Encoding Induction Proof in Dafny. TASE 2021: 95-102 - [i4]Sijun Tan, Brian Knott, Yuan Tian, David J. Wu:
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU. CoRR abs/2104.10949 (2021) - [i3]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 abs/2109.11726 (2021) - [i2]Sijun Tan, Jibang Wu, Xiaohui Bei, Haifeng Xu:
Least Square Calibration for Peer Review. CoRR abs/2110.12607 (2021) - [i1]Sijun Tan, Brian Knott, Yuan Tian, David J. Wu:
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU. IACR Cryptol. ePrint Arch. 2021: 533 (2021)
Coauthor Index
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