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Haidong Xie
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2020 – today
- 2023
- [j1]Jinshu Huang, Haidong Xie, Chunlin Wu, Xueshuang Xiang:
Union label smoothing adversarial training: Recognize small perturbation attacks and reject larger perturbation attacks balanced. Future Gener. Comput. Syst. 148: 600-609 (2023) - [c3]Haidong Xie, Xueshuang Xiang, Bin Dong, Naijin Liu:
Blind Adversarial Training: Towards Comprehensively Robust Models Against Blind Adversarial Attacks. CICAI (2) 2023: 15-26 - 2022
- [i5]Haidong Xie, Yizhou Xu, Yuanqing Chen, Nan Ji, Shuai Yuan, Naijin Liu, Xueshuang Xiang:
Adversarial Jamming for a More Effective Constellation Attack. CoRR abs/2201.08052 (2022) - [i4]Haidong Xie, Jia Tan, Xiaoying Zhang, Nan Ji, Haihua Liao, Zuguo Yu, Xueshuang Xiang, Naijin Liu:
Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples. CoRR abs/2201.08731 (2022) - 2021
- [c2]Haidong Xie, Lixin Qian, Xueshuang Xiang, Naijin Liu:
Blind Adversarial Pruning: Towards The Comprehensive Robust Models With Gradually Pruning Against Blind Adversarial Attacks. ICME 2021: 1-6 - [c1]Jia Tan, Nan Ji, Haidong Xie, Xueshuang Xiang:
Legitimate Adversarial Patches: Evading Human Eyes and Detection Models in the Physical World. ACM Multimedia 2021: 5307-5315 - [i3]Nan Ji, YanFei Feng, Haidong Xie, Xueshuang Xiang, Naijin Liu:
Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches. CoRR abs/2103.08860 (2021) - 2020
- [i2]Haidong Xie, Lixin Qian, Xueshuang Xiang, Naijin Liu:
Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness. CoRR abs/2004.05913 (2020) - [i1]Haidong Xie, Xueshuang Xiang, Naijin Liu, Bin Dong:
Blind Adversarial Training: Balance Accuracy and Robustness. CoRR abs/2004.05914 (2020)
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