陈传希，男，汉族，博士毕业于武汉大学国家网络安全学院，现主要从事人工智能安全、对抗机器学习及多媒体内容安全等领域研究，已在SCI、EI等国际主流期刊IEEE IoTJ、IJIS和会议TrustCom发表多篇论文，也参与了多项国家级科研项目。欢迎对对抗样本攻防、人脸隐私保护、取证等感兴趣的同学与我联系，追求进步！

1. 2024.3-至今，福建师范大学，计算机与网络空间安全学院，讲师

2. 2019.9-2023.12，武汉大学，网络空间安全， 工学博士

3. 2016.9-2019.6  武汉工程大学，计算机应用技术，理学硕士

4. 2012.9-2016.6, 武汉工程大学，计算机科学专业，工学学士

1. 国家自然科学基金-面上项目：面向安全图像隐写应用的通用鲁棒对抗样本理论方法研究，62072343，2021.1-2024.12，参与，

2. 国家重点研发计划专项项目：基于***取证，2019.10-2022.4，参与。

1.Chuanxi Chen, Dengpan Ye*, Yiheng He, Long Tang, Yue Xu, 2024, Improving Adversarial Robustness with Adversarial Augmentations, IEEE Internet of Things Journal, 11(3): 5105-5117.

2.Dengpan Ye, Chuanxi Chen*, Changrui Liu, Hao Wang, Shunzhi Jiang, 2022, Detection defense against adversarial attacks with saliency map, INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 37(12): 10193-10210.

3.Chuanxi Chen, Dengpan Ye*, Hao Wang, Long Tang, Yue Xu, 2022, Towards Adversarial Robustness with Multidimensional Perturbations via Contrastive Learning, IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2022.

4.Jingyang Li, Dengpan Ye*, Long Tang, Chuanxi Chen, Shengshan Hu, 2023, Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023.

5.Long Tang, Dengpan Ye*, Yunna Lv, Chuanxi Chen, Yunming Zhang, 2024, Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval, Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024.

6.Yunming Zhang, Dengpan Ye*, Caiyun Xie, Long Tang, Xin Liao, Ziyi Liu, Chuanxi Chen, Jiacheng Deng, 2024, Dual Defense: Adversarial, Traceable, and Invisible Robust Watermarking Against Face Swapping, IEEE Transactions on Information Forensics and Security, 19: 4628-4641.