Di Wu

According to our database, Di Wu authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Cross-Region Feature Reformer With Semantic Preservation for Adversarial Malware Detection.

Qian Li, Di Wu, Chenhao Lin, Shuai Liu, Cong Wang, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2026

Model Stability Defense Against Model Poisoning in Federated Learning.

Qi Guo, Di Wu, Yong Qi, Saiyu Qi, Qian Li, Minghao Yao, Kaitai Liang

IEEE Trans. Dependable Secur. Comput., 2026

2025

Dual Class-Aware Contrastive Federated Semi-Supervised Learning.

Qi Guo, Di Wu, Yong Qi, Saiyu Qi

IEEE Trans. Mob. Comput., February, 2025

Robust Adversarial Defenses in Federated Learning: Exploring the Impact of Data Heterogeneity.

Qian Li, Di Wu, Dawei Zhou, Chenhao Lin, Shuai Liu, Cong Wang, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2025

AMA: Adaptive Model Poisoning Attacks Towards Federated Learning.

Di Wu, Qi Guo, Yong Qi, Saiyu Qi, Qian Li

IEEE Trans. Dependable Secur. Comput., 2025

2023

FedMCSA: Personalized federated learning via model components self-attention.

Qi Guo, Yong Qi, Saiyu Qi, Di Wu, Qian Li

Neurocomputing, December, 2023

Revisiting Gradient Regularization: Inject Robust Saliency-Aware Weight Bias for Adversarial Defense.

Qian Li, Qingyuan Hu, Chenhao Lin, Di Wu, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2023

Understanding and defending against White-box membership inference attack in deep learning.

Di Wu, Saiyu Qi, Yong Qi, Qian Li, Bowen Cai, Qi Guo, Jingxian Cheng

Knowl. Based Syst., 2023

EPPVChain: An Efficient Privacy-Preserving Verifiable Query Scheme for Blockchain Databases.

Jingxian Cheng, Saiyu Qi, Yong Qi, Jianfeng Wang, Qin Jiang, Di Wu

Proceedings of the 22nd IEEE International Conference on Trust, 2023

2022

Stochastic Ghost Batch for Self-distillation with Dynamic Soft Label.

Qian Li, Qingyuan Hu, Saiyu Qi, Yong Qi, Di Wu, Yun Lin, Jin Song Dong

Knowl. Based Syst., 2022

FLMJR: Improving Robustness of Federated Learning via Model Stability.

Qi Guo, Di Wu, Yong Qi, Saiyu Qi, Qian Li

Proceedings of the Computer Security - ESORICS 2022, 2022