Ningping Mou

According to our database, Ningping Mou authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

Fairness is essential for robustness: fair adversarial training by identifying and augmenting hard examples.

Ningping Mou, Xinli Yue, Lingchen Zhao, Qian Wang

Frontiers Comput. Sci., March, 2025

2024

No-Box Universal Adversarial Perturbations Against Image Classifiers via Artificial Textures.

Ningping Mou, Binqing Guo, Lingchen Zhao, Cong Wang, Yue Zhao, Qian Wang

IEEE Trans. Inf. Forensics Secur., 2024

More Simplicity for Trainers, More Opportunity for Attackers: Black-Box Attacks on Speaker Recognition Systems by Inferring Feature Extractor.

Yunjie Ge, Pinji Chen, Qian Wang, Lingchen Zhao, Ningping Mou, Peipei Jiang, Cong Wang, Qi Li, Chao Shen

Proceedings of the 33rd USENIX Security Symposium, 2024

Revisiting Adversarial Training Under Long-Tailed Distributions.

Xinli Yue, Ningping Mou, Qian Wang, Lingchen Zhao

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

2023

Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness.

Xinli Yue, Ningping Mou, Qian Wang, Lingchen Zhao

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

Improving Adversarial Transferability with Ghost Samples.

Yi Zhao, Ningping Mou, Yunjie Ge, Qian Wang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

A Few Seconds Can Change Everything: Fast Decision-based Attacks against DNNs.

Ningping Mou, Baolin Zheng, Qian Wang, Yunjie Ge, Binqing Guo

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Towards Black-Box Adversarial Attacks on Interpretable Deep Learning Systems.

Yike Zhan, Baolin Zheng, Qian Wang, Ningping Mou, Binqing Guo, Qi Li, Chao Shen, Cong Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022