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2020 – today
- 2024
[c3]Yulian Sun
, Li Duan, Ricardo Mendes, Derui Zhu, Yue Xia, Yong Li, Asja Fischer:
Exploiting Internal Randomness for Privacy in Vertical Federated Learning. ESORICS (2) 2024: 390-409- [i4]Yulian Sun, Li Duan, Yong Li:
PSY: Posterior Sampling Based Privacy Enhancer in Large Language Models. CoRR abs/2410.18824 (2024) - [i3]Yulian Sun, Li Duan, Ricardo Mendes, Derui Zhu, Yue Xia, Yong Li, Asja Fischer:
Exploiting Internal Randomness for Privacy in Vertical Federated Learning. IACR Cryptol. ePrint Arch. 2024: 671 (2024) - 2023
- [c2]Tianxiang Dai, Li Duan, Yufan Jiang, Yong Li, Fei Mei, Yulian Sun:
Force: Highly Efficient Four-Party Privacy-Preserving Machine Learning on GPU. NordSec 2023: 330-349 - [i2]Tianxiang Dai, Li Duan, Yufan Jiang, Yong Li, Fei Mei, Yulian Sun:
Force: Making 4PC > 4 × PC in Privacy Preserving Machine Learning on GPU. IACR Cryptol. ePrint Arch. 2023: 493 (2023) - 2022
- [c1]Xuesong Zhai, Yulian Sun, Minjuan Wang, Fahad Asmi, Wenjing Cai, Xiaoyan Chu:
Exploring the Effect of Virtual Reality with Haptics on Educational Research: A Meta-analysis From 2010 to 2020. iLRN 2022: 1-7 - [i1]Yulian Sun:
Federated Transfer Learning with Multimodal Data. CoRR abs/2209.03137 (2022)
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