Jinglong Luo

According to our database, Jinglong Luo authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes.

Jinglong Luo, Zhuo Zhang, Yehong Zhang, Shiyu Liu, Ye Dong, Xun Zhou, Hui Wang, Yue Yu, Zenglin Xu

CoRR, June, 2025

Vulnerabilities in SVHFL: Toward Secure and Verifiable Hybrid Federated Learning.

Fucai Luo, Jiahui Wu, Jinglong Luo

IEEE Trans. Inf. Forensics Secur., 2025

CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference.

Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges.

Yifei Zhang, Dun Zeng, Jinglong Luo, Xinyu Fu, Guanzhong Chen, Zenglin Xu, Irwin King

ACM Trans. Intell. Syst. Technol., December, 2024

Efficient privacy-preserving Gaussian process via secure multi-party computation.

Shiyu Liu, Jinglong Luo, Yehong Zhang, Hui Wang, Yue Yu, Zenglin Xu

J. Syst. Archit., 2024

SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models.

Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu

CoRR, 2024

SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC.

Jinglong Luo, Yehong Zhang, Zhuo Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Privacy in Large Language Models: Attacks, Defenses and Future Directions.

Haoran Li, Yulin Chen, Jinglong Luo, Yan Kang, Xiaojin Zhang, Qi Hu, Chunkit Chan, Yangqiu Song

CoRR, 2023

A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy.

Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Practical privacy-preserving Gaussian process regression via secret sharing.

Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2020

Efficient Threshold Function Secret Sharing With Information-Theoretic Security.

Jinglong Luo, Liang Feng Zhang, Fuchun Lin, Changlu Lin

IEEE Access, 2020