Linghui Zhu

According to our database, Linghui Zhu authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

Holmes: Towards Effective and Harmless Model Ownership Verification to Personalized Large Vision Models via Decoupling Common Features.

Linghui Zhu, Yiming Li, Haiqin Weng, Yan Liu, Tianwei Zhang, Shu-Tao Xia, Zhi Wang

CoRR, July, 2025

MOVE: Effective and Harmless Ownership Verification via Embedded External Features.

Yiming Li, Linghui Zhu, Xiaojun Jia, Yang Bai, Yong Jiang, Shu-Tao Xia, Xiaochun Cao, Kui Ren

IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

2023

Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks.

Yinghua Gao, Yiming Li, Linghui Zhu, Dongxian Wu, Yong Jiang, Shu-Tao Xia

Pattern Recognit., July, 2023

2022

A Fine-Grained Differentially Private Federated Learning Against Leakage From Gradients.

Linghui Zhu, Xinyi Liu, Yiming Li, Xue Yang, Shu-Tao Xia, Rongxing Lu

IEEE Internet Things J., 2022

MOVE: Effective and Harmless Ownership Verification via Embedded External Features.

Yiming Li, Linghui Zhu, Xiaojun Jia, Yang Bai, Yong Jiang, Shu-Tao Xia, Xiaochun Cao

CoRR, 2022

Iterative Semi-Supervised Manifold Alignment For Hyperspectral Image Classification.

Linghui Zhu, Li Ma, Xingmei Li

Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Defending against Model Stealing via Verifying Embedded External Features.

Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

GDST: Global Distillation Self-Training for Semi-Supervised Federated Learning.

Xinyi Liu, Linghui Zhu, Shu-Tao Xia, Yong Jiang, Xue Yang

Proceedings of the IEEE Global Communications Conference, 2021