Mingli Zhu

According to our database, Mingli Zhu authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

Defenses in Adversarial Machine Learning: A Systematic Survey From the Lifecycle Perspective.

Baoyuan Wu, Mingli Zhu, Meixi Zheng, Zihao Zhu, Shaokui Wei, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu

IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

2025

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning.

Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Mingli Zhu, Ruotong Wang, Li Liu, Chao Shen

Int. J. Comput. Vis., August, 2025

Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features.

Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu

CoRR, February, 2025

BadVideo: Stealthy Backdoor Attack Against Text-to-Video Generation.

Ruotong Wang, Mingli Zhu, Jiarong Ou, Rui Chen, Xin Tao, Pengfei Wan, Baoyuan Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift.

Siyuan Liang, Jiawei Liang, Tianyu Pang, Chao Du, Aishan Liu, Mingli Zhu, Xiaochun Cao, Dacheng Tao

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

2024

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization.

Mingda Zhang, Mingli Zhu, Zihao Zhu, Baoyuan Wu

CoRR, 2024

Enhanced Few-Shot Class-Incremental Learning via Ensemble Models.

Mingli Zhu, Zihao Zhu, Sihong Chen, Chen Chen, Baoyuan Wu

CoRR, 2024

Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack.

Mingli Zhu, Siyuan Liang, Baoyuan Wu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Comparative Study of Algorithm Usage in Library and Information Science Research: China vs. Other Countries.

Mingli Zhu, Ruinan Li, Yuzhuo Wang

Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries, 2024

BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning.

Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, Ee-Chien Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Defenses in Adversarial Machine Learning: A Survey.

Baoyuan Wu, Shaokui Wei, Mingli Zhu, Meixi Zheng, Zihao Zhu, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu

CoRR, 2023

Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features.

Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization.

Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Rethinking Data Augmentation in Knowledge Distillation for Object Detection.

Jiawei Liang, Siyuan Liang, Aishan Liu, Mingli Zhu, Danni Yuan, Chenye Xu, Xiaochun Cao

CoRR, 2022

Indoor localization algorithm based on Bluetooth location fingerprinting and CNN.

Mingli Zhu, Hongfang Lv

Proceedings of the 4th International Conference on Robotics, 2022