Jinglong Luo

15 papers A 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cryptography-based privacy-preserving large language models: a lifecycle survey of frameworks, methods, and future directions.
Artif. Intell. Rev.
Jinglong Luo, Yehong Zhang, Zhuo Zhang, Shiyu Liu, Ye Dong, Haoran Li, Yue Yu, Hui Wang, Xun Zhou, Zenglin Xu
2025 — conf
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference.
ACL (1)
Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu
2025 J jnl
SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes.
CoRR
Jinglong Luo, Zhuo Zhang, Yehong Zhang, Shiyu Liu, Ye Dong, Xun Zhou, Hui Wang, Yue Yu, Zenglin Xu
2025 J jnl
Vulnerabilities in SVHFL: Toward Secure and Verifiable Hybrid Federated Learning.
IEEE Trans. Inf. Forensics Secur.
Fucai Luo, Jiahui Wu, Jinglong Luo
2024 J jnl
A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges.
ACM Trans. Intell. Syst. Technol.
Yifei Zhang, Dun Zeng, Jinglong Luo, Xinyu Fu, Guanzhong Chen, Zenglin Xu, Irwin King
2024 J jnl
Centaur: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference.
CoRR
Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu
2024 J jnl
Efficient privacy-preserving Gaussian process via secure multi-party computation.
J. Syst. Archit.
Shiyu Liu, Jinglong Luo, Yehong Zhang, Hui Wang, Yue Yu, Zenglin Xu
2024 — conf
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC.
ACL (Findings)
Jinglong Luo, Yehong Zhang, Zhuo Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
2024 J jnl
SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models.
CoRR
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
2023 — conf
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy.
WWW (Companion Volume)
Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King
2023 J jnl
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy.
CoRR
Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King
2023 J jnl
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing.
CoRR
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu
2023 A conf
Practical privacy-preserving Gaussian process regression via secret sharing.
UAI
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu
2023 J jnl
Privacy in Large Language Models: Attacks, Defenses and Future Directions.
CoRR
Haoran Li, Yulin Chen, Jinglong Luo, Yan Kang, Xiaojin Zhang, Qi Hu, Chunkit Chan, Yangqiu Song
2020 J jnl
Efficient Threshold Function Secret Sharing With Information-Theoretic Security.
IEEE Access
Jinglong Luo, Liang Feng Zhang, Fuchun Lin, Changlu Lin