Yuan Zhao

19 papers A* 2A 1C 1Misc 3Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
GIF-FHE: A Comprehensive Implementation and Evaluation of GPU-Accelerated FHE With Integer and Floating-Point Computing Power.
IEEE Trans. Parallel Distributed Syst.
Fangyu Zheng, Guang Fan, Wenxu Tang, Yixuan Song, Tian Zhou, Yuan Zhao, Jiankuo Dong, Jingqiang Lin, Shoumeng Yan, Jiwu Jing
2025 A* conf
Gibbon: Faster Secure Two-party Training of Gradient Boosting Decision Tree.
CCS
Lichun Li, Zecheng Wu, Yuan Zhao, Zhihao Li, Wen-jie Lu, Shan Yin
2025 — conf
GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models.
ACL (1)
Kai Yao, Zhaorui Tan, Penglei Gao, Lichun Li, Kaixin Wu, Yinggui Wang, Yuan Zhao, Yixin Ji, Jianke Zhu, Wei Wang
2025 J jnl
GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models.
CoRR
Kai Yao, Zhaorui Tan, Penglei Gao, Lichun Li, Kaixin Wu, Yinggui Wang, Yuan Zhao, Yixin Ji, Wei Wang, Jianke Zhu
2025 J jnl
Privacy-Preserving Decision Graph Inference From Homomorphic Lookup Table.
IEEE Trans. Dependable Secur. Comput.
Lichun Li, Yuan Zhao, Zhijie Liu, Kai Bu, Linfeng Cheng, Shan Yin
2025 A* conf
ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression.
AAAI
Kai Yao, Zhaorui Tan, Tiandi Ye, Lichun Li, Yuan Zhao, Wenyan Liu, Wei Wang, Jianke Zhu
2024 — conf
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models.
EMNLP (Findings)
Kai Yao, Penglei Gao, Lichun Li, Yuan Zhao, Xiaofeng Wang, Wei Wang, Jianke Zhu
2024 J jnl
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models.
CoRR
Kai Yao, Penglei Gao, Lichun Li, Yuan Zhao, Xiaofeng Wang, Wei Wang, Jianke Zhu
2024 J jnl
ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression.
CoRR
Kai Yao, Zhaorui Tan, Tiandi Ye, Lichun Li, Yuan Zhao, Wenyan Liu, Wei Wang, Jianke Zhu
2023 J jnl
E-Booster: A Field-Programmable Gate Array-Based Accelerator for Secure Tree Boosting Using Additively Homomorphic Encryption.
IEEE Micro
Guiming Wu, Qianwen He, Jiali Jiang, Zhenxiang Zhang, Yunfeng Shi, Xin Long, Linquan Jiang, Shuangchen Li, Yuan Xie, Changzheng Wei, Yuan Zhao, Ying Yan, Hui Zhang, Yinchao Zou
2023 J jnl
Topgun: An ECC Accelerator for Private Set Intersection.
ACM Trans. Reconfigurable Technol. Syst.
Guiming Wu, Qianwen He, Jiali Jiang, Zhenxiang Zhang, Yuan Zhao, Yinchao Zou, Jie Zhang, Changzheng Wei, Ying Yan, Hui Zhang
2023 A conf
Towards Faster Fully Homomorphic Encryption Implementation with Integer and Floating-point Computing Power of GPUs.
IPDPS
Guang Fan, Fangyu Zheng, Lipeng Wan, Lili Gao, Yuan Zhao, Jiankuo Dong, Yixuan Song, Yuewu Wang, Jingqiang Lin
2021 J jnl
MORSE-STF: A Privacy Preserving Computation System.
CoRR
Qizhi Zhang, Yuan Zhao, Lichun Li, JiaoFu Zhang, Qichao Zhang, Yashun Zhou, Dong Yin, Sijun Tan, Shan Yin
2021 — conf
VIRSA: Vectorized In-Register RSA Computation with Memory Disclosure Resistance.
ICICS (1)
Yu Fu, Wei Wang, Lingjia Meng, Qiongxiao Wang, Yuan Zhao, Jingqiang Lin
2017 J jnl
Utilizing the Double-Precision Floating-Point Computing Power of GPUs for RSA Acceleration.
Secur. Commun. Networks
Jiankuo Dong, Fangyu Zheng, Wuqiong Pan, Jingqiang Lin, Jiwu Jing, Yuan Zhao
2016 Misc conf
PhiRSA: Exploiting the Computing Power of Vector Instructions on Intel Xeon Phi for RSA.
SAC
Yuan Zhao, Wuqiong Pan, Jingqiang Lin, Peng Liu, Cong Xue, Fangyu Zheng
2016 Misc conf
RegRSA: Using Registers as Buffers to Resist Memory Disclosure Attacks.
SEC
Yuan Zhao, Jingqiang Lin, Wuqiong Pan, Cong Xue, Fangyu Zheng, Ziqiang Ma
2014 C conf
Exploiting the Floating-Point Computing Power of GPUs for RSA.
ISC
Fangyu Zheng, Wuqiong Pan, Jingqiang Lin, Jiwu Jing, Yuan Zhao
2014 Misc conf
Exploiting the Potential of GPUs for Modular Multiplication in ECC.
WISA
Fangyu Zheng, Wuqiong Pan, Jingqiang Lin, Jiwu Jing, Yuan Zhao