Xinlei Liu

According to our database, Xinlei Liu authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Gradient semi-masking for improving adversarial robustness.

Xinlei Liu, Tao Hu, Peng Yi, Baolin Li, Jichao Xie, Hailong Ma

Pattern Recognit., 2026

Generalizable poisoning-resistant backdoor detection and removal framework: From dataset perspective.

Baolin Li, Tao Hu, Xinlei Liu, Jichao Xie, Peng Yi

Pattern Recognit., 2026

2025

Mape: defending against transferable adversarial attacks using multi-source adversarial perturbations elimination.

Xinlei Liu, Jichao Xie, Tao Hu, Peng Yi, Yuxiang Hu, Shumin Huo, Zhen Zhang

Complex Intell. Syst., 2025

An Effective Adversarial Defense Framework: From Robust Feature Perspective.

Baolin Li, Tao Hu, Xinlei Liu, Jichao Xie, Peng Yi

Comput. Mater. Continua, 2025

Spectral Shielding: Amplitude-Adaptive Frequency Correction Against Transferable Adversarial Attacks.

Xinlei Liu, Tao Hu, Peng Yi, Rongkui Zhou, Hailong Ma, Yiming Jiang

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Alternating Guided Training for Robust Adversarial Defense.

Xinlei Liu, Chunlai Ma, Bo Chen, Tao Hu, Hailong Ma, Peng Yi, Yiming Jiang, Yuxiang Hu

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Defending Against Transfer-Based Adversarial Attacks Using SVD-Driven Feature Evolution.

Xinlei Liu, Tao Hu, Peng Yi, Qingtao Pan, Hailong Ma, Yiming Jiang, Baolin Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Sequential Difference Maximization: Generating Adversarial Examples via Multi-Stage Optimization.

Xinlei Liu, Tao Hu, Peng Yi, Weitao Han, Jichao Xie, Baolin Li

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Robust purification defense for transfer attacks based on probabilistic scheduling algorithm of pre-trained models: A model difference perspective.

Xinlei Liu, Jichao Xie, Tao Hu, Hailong Ma, Baolin Li, Peng Yi, Zhen Zhang

Proceedings of the 23rd IEEE International Conference on Trust, 2024