Haidong Xie

According to our database, Haidong Xie authored at least 9 papers between 2020 and 2023.

Collaborative distances:

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

2023

Union label smoothing adversarial training: Recognize small perturbation attacks and reject larger perturbation attacks balanced.

Jinshu Huang, Haidong Xie, Chunlin Wu, Xueshuang Xiang

Future Gener. Comput. Syst., November, 2023

Blind Adversarial Training: Towards Comprehensively Robust Models Against Blind Adversarial Attacks.

Haidong Xie, Xueshuang Xiang, Bin Dong, Naijin Liu

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples.

Haidong Xie, Jia Tan, Xiaoying Zhang, Nan Ji, Haihua Liao, Zuguo Yu, Xueshuang Xiang, Naijin Liu

CoRR, 2022

Adversarial Jamming for a More Effective Constellation Attack.

Haidong Xie, Yizhou Xu, Yuanqing Chen, Nan Ji, Shuai Yuan, Naijin Liu, Xueshuang Xiang

CoRR, 2022

2021

Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches.

Nan Ji, YanFei Feng, Haidong Xie, Xueshuang Xiang, Naijin Liu

CoRR, 2021

Legitimate Adversarial Patches: Evading Human Eyes and Detection Models in the Physical World.

Jia Tan, Nan Ji, Haidong Xie, Xueshuang Xiang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Blind Adversarial Pruning: Towards The Comprehensive Robust Models With Gradually Pruning Against Blind Adversarial Attacks.

Haidong Xie, Lixin Qian, Xueshuang Xiang, Naijin Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Blind Adversarial Training: Balance Accuracy and Robustness.

Haidong Xie, Xueshuang Xiang, Naijin Liu, Bin Dong

CoRR, 2020

Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness.

Haidong Xie, Lixin Qian, Xueshuang Xiang, Naijin Liu

CoRR, 2020