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[2] Yaguan Qian(钱亚冠), Liang Chen, Bin Wang, Zhaoquan Gu, Mingchun Wu. Adversarial Pruning: Towards Robust Pruning against Adversarial Attacks.2022 IEEE Transactions on Neural Networks and learning systems (CCF B)

[3] Yaguan Qian(钱亚冠), Anling Shun, Qiong Lou*, Xiaohui Guan, Zhaoquan Gu, Mingchun Wu. Person Re-identification of Changing Clothes in Open Space, Neurocomputing. 2021

[4]王滨，王佳敏，钱亚冠*，王星，张峰. 一种基于注意力驱动的对抗样本去噪防御方法. 网络与信息安全学报. 2021.4

[5] Yaguan Qian(钱亚冠), Qiqi Shao, Zhaoquan Gu, Bin Wang, Mingchun Wu. Speed up on the Last Layer: A Virtural Adversarial Training for DNNs, IEEE Transactions on Information Forensics and Security (CCF A). 2021

*[6] Yaguan Qian(钱亚冠), Jiaming Wang, Zhaoquan Gu, Bin Wang, Mingchun Wu. Imperceptible Adversarial Patches Based on Network Explanations. IEEE Transactions on Multimedia (CCF B), 2021

*[7] Yaguan Qian (钱亚冠), Qiqi Shao, Jiaming Wang, Xiang Lin, Yankai Guo, Zhaoquan Gu, Bin Wang, Mingchun Wu. EI-MTD：Moving Target Defense for Edge Intelligence against Adversarial Attacks. 2021. ACM Transactions on Multimedia Computing, Communications and Applications. CCF (B)

[8] 钱亚冠，王佳敏，郭艳凯，王滨，顾钊铨. 针对卷积神经网络流量分类器的对抗样本攻击及防御. 电子与信息学报. 2021

[9] Yaguan Qian (钱亚冠), Xiaoyu Liang, Ximin Zhang, Bin Wang*, Wei Li, Zhaoquan Gu*, Haijiang Wang, and Wassim Swaileh. TEAM: We Need More Powerful Adversarial Examples for DNNs, IEEE Transactions on Dependable and Secure Computing, 2021. CCF (A) / Science China

*[10] 钱亚冠, 何念念, 马骏, 王滨, 顾钊铨, 凌祥, Wassim Swaileh. 面向边缘智能的两阶段对抗知识迁移方法. 软件学报. 2020（录用）

*[11] 钱亚冠，郭艳凯，何念念，王滨，李晖，顾钊铨，张旭鸿，吴春明. 针对深度神经网络模型指纹检测器的逃避算法，计算机研究与发展. 2021.4 2020（录用）

[12] 钱亚冠，张锡敏，王滨，顾钊铨，殷丽华，李蔚，云本胜. 基于二阶对抗样本的对抗训练防御. 电子与信息学报. 2020（录用）

[13] 钱亚冠, 刘新伟, 顾钊铨, 王滨, 潘俊, 张锡敏. 一种基于二维码对抗样本的物理补丁攻击. 信息安全学报, 5(6):75-86, 2020.  CSCD

*[14] Yaguan Qian (钱亚冠), Danfeng Ma, Bin Wang, Jun Pan*, Jiamin Wang, Zhaoquan Gu, Jianhai Chen, Wujie Zhou, Jingsheng Lei. Spot Evasion Attacks: Adversarial Examples for License Plate Recognition Systems with Convolutional Neural Networks. Computers & Security, 95(2020)，p.1-14. CCF (B), SCI

[15] Yaguan Qian (钱亚冠), Jun Ma, Ximin Zhang, Jun Pan, Wujie Zhou, Shuhui Wu, Bensheng Yun, Jingsheng Lei. EMSGD: An Improved Learning Algorithm of Neural Networks with Imbalanced Data. IEEE ACCESS, 8, 2020. pp.64086-64098. SCI

[16] 钱亚冠，卢红波，纪守领，周武杰，吴淑慧，雷景生，陶祥兴.一种针对基于SVM入侵检测系统的毒性攻击方法.电子学报2019,47(1):59-65，EI

[17] 钱亚冠，卢红波，纪守领，周武杰，吴淑慧，雷景生. 基于粒子群优化的对抗样本生成算法.电子与信息学报，2019,41(7):1658-1665.EI

[18] Yaguan Qian (钱亚冠), Xiaohui Guan, Ming Jiang, Gang Cen. Modeling and Generating Realistic Background Traffic by Hybrid Approach. China Communications, vol. 12, no. 10, pp. 147-157, 2015. SCI

[19] GAO Wen, QIAN Yaguan(钱亚冠), WU Chunming. Metrics in Sharing Video Relationship-Networks. Chinese Journal of Electronics: 2014 ,23(3). SCI

[20] QIAN Yaguan(钱亚冠), WU Chunming, YANG Qiang, WANG Bin. Network traffic anomaly detection based on maximum entropy model. Chinese Journal of Electronics: 2012, 21(3)：579-582. SCI