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Jinglong Luo
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2020 – today
- 2024
- [j2]Shiyu Liu, Jinglong Luo, Yehong Zhang, Hui Wang, Yue Yu, Zenglin Xu:
Efficient privacy-preserving Gaussian process via secure multi-party computation. J. Syst. Archit. 151: 103134 (2024) - [i4]Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu:
SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models. CoRR abs/2401.00793 (2024) - 2023
- [c2]Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu:
Practical privacy-preserving Gaussian process regression via secret sharing. UAI 2023: 1315-1325 - [c1]Yifei Zhang
, Dun Zeng
, Jinglong Luo
, Zenglin Xu
, Irwin King
:
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. WWW (Companion Volume) 2023: 1167-1176 - [i3]Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King
:
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy. CoRR abs/2302.10637 (2023) - [i2]Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu:
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing. CoRR abs/2306.14498 (2023) - [i1]Haoran Li, Yulin Chen, Jinglong Luo, Yan Kang, Xiaojin Zhang, Qi Hu, Chunkit Chan, Yangqiu Song:
Privacy in Large Language Models: Attacks, Defenses and Future Directions. CoRR abs/2310.10383 (2023) - 2020
- [j1]Jinglong Luo
, Liang Feng Zhang
, Fuchun Lin
, Changlu Lin
:
Efficient Threshold Function Secret Sharing With Information-Theoretic Security. IEEE Access 8: 6523-6532 (2020)
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last updated on 2024-08-05 21:10 CEST by the dblp team
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