Yingzhe He

According to our database, Yingzhe He authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

Principal Component Analysis-Based Optimal Feature Design for GNSS Spoofing Detection.

Shuai Zhang, Chao Sun, Ying Xu, Lu Bai, Wenquan Feng, Xin Wen, Yingzhe He, Nanzhu Liu

IEEE Commun. Lett., July, 2025

Disrupting Semantic and Abstract Features for Better Adversarial Transferability.

Yuyang Luo, Xiaosen Wang, Zhijin Ge, Yingzhe He

CoRR, July, 2025

ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification.

Xiao Li, Wenxuan Sun, Huanran Chen, Qiongxiu Li, Yingzhe He, Jie Shi, Xiaolin Hu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PBCAT: Patch-Based Composite Adversarial Training Against Physically Realizable Attacks on Object Detection.

Xiao Li, Yiming Zhu, Yifan Huang, Wei Zhang, Yingzhe He, Jie Shi, Xiaolin Hu

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

2024

ADBM: Adversarial diffusion bridge model for reliable adversarial purification.

Xiao Li, Wenxuan Sun, Huanran Chen, Qiongxiu Li, Yining Liu, Yingzhe He, Jie Shi, Xiaolin Hu

CoRR, 2024

2022

Towards Security Threats of Deep Learning Systems: A Survey.

Yingzhe He, Guozhu Meng, Kai Chen, Xingbo Hu, Jinwen He

IEEE Trans. Software Eng., 2022

2021

DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks.

Yingzhe He, Guozhu Meng, Kai Chen, Jinwen He, Xingbo Hu

CoRR, 2021

DRMI: A Dataset Reduction Technology based on Mutual Information for Black-box Attacks.

Yingzhe He, Guozhu Meng, Kai Chen, Xingbo Hu, Jinwen He

Proceedings of the 30th USENIX Security Symposium, 2021

2019

Towards Privacy and Security of Deep Learning Systems: A Survey.

Yingzhe He, Guozhu Meng, Kai Chen, Xingbo Hu, Jinwen He

CoRR, 2019