顾钊铨 - 哈尔滨工业大学（深圳） - 计算机科学与技术学院

个人简介

顾钊铨，哈尔滨工业大学（深圳）教授，鹏城实验室双聘研究员，鹏城靶场副总师。本科毕业于清华大学计算机科学实验班（姚班），博士毕业于清华大学交叉信息研究院，清华大学和香港大学联合培养博士后；广州大学教授，曾任大数据及安全研究所所长，网络空间先进技术研究院副院长。从事网络空间安全前沿技术研究，主要方向包括网络攻击检测与分析、网络安全态势感知、人工智能安全等。曾获清华大学优秀博士毕业生、北京市优秀毕业生、香江学者，入选中国科协青年人才托举工程，广东省科技创新青年拔尖人才，获广东省科技进步一等奖两次，吴文俊人工智能科技进步奖等。出版专著/编著5部，发表学术论文140余篇，申请或授权专利80余项，参与制定多项网络空间安全行业标准。近五年主持及参与国家重点研发计划课题、鹏城实验室重大攻关项目课题、广东省重点研发项目、国家重点基金、工程院重点咨询项目等二十余项。曾获ACSAC 2017年最佳论文、IEEE DSC 2022最佳论文、2019年IJCAI人工智能对抗算法竞赛冠军，指导学生获安全AI挑战者计划（文本分类对抗）最佳奇思妙想奖、2021科大讯飞算法大赛冠军、2021字节跳动安全算法大赛冠军、第五届中国“互联网+”大学生创新创业大赛全国银奖等。教育经历 2007/08-2011/07 清华大学计算机科学实验室（姚班）学士 2011/08-2015/07 清华大学交叉信息研究院博士工作经历 2015/10-2017/10 清华大学交叉信息研究院博士后 2016/02-2018/02 香港大学计算机学院博士后 2017/09-2022/09 广州大学网络空间先进技术研究院教授 2022/10-至今哈尔滨工业大学（深圳）教授科研项目基于国产密码的网络协同制造平台数据保护技术研究，国家重点研发计划，课题负责人协同流程大数据分析与优化决策技术研究，国家重点研发计划，子课题负责人针对人脸识别神经网络的物理域黑盒攻击研究，国家自然科学基金，负责人面向智能防御的网络安全风险分析与评估技术研究，国家电网科技项目课题，课题负责人图片图像人工智能防护关键技术，移动互联网与应用安全国家工程实验室课题，负责人无人驾驶应用场景下的对抗样本研究，智能产品质量评价与可靠性保障技术工信部重点实验室课题，负责人针对图像识别神经网络的攻防对抗技术，广州市基础研究计划市校（院）联合资助项目，负责人大数据产业、安全及掌控能力提升的国家战略，中国工程院咨询项目，参与人工智能衍生安全防范方案及标准规范研究，中国工程院咨询项目，参与基于大数据的网络安全态势智能感知关键技术与系统，广东省重点研发计划，参与基于时空轨迹信息保障安全复工的疫情防控关键技术及系统，中国工程院咨询项目，参与大数据环境下主流媒体内容感知、交互与分析展示技术，国家自然科学基金重点项目，参与

研究领域

网络攻击检测安全事件分析网络安全态势感知人工智能

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

著作 Zhaoquan Gu, Yuexuan Wang, Qiang-Sheng Hua, and Francis C.M. Lau. Rendezvous in Distributed Systems: Theory, Algorithms and Applications. Springer, ISBN 978-981-10-3680-4, 2017. 方滨兴，顾钊铨，崔翔等。《人工智能安全》，电子工业出版社，ISBN：9787121389917，2020年6月。贾焰，方滨兴，顾钊铨等。《网络安全态势感知》，电子工业出版社，ISBN：9787121394843，2020年9月。 Y. Jia, Z. Gu, A. Li (Eds.). MDATA: A New Knowledge Representation Model, Lecture Notes in Computer Science, vol 12647, https://doi.org/10.1007/978-3-030-71590-8, 2021. 曾衍翰、顾钊铨、曹忠、仇晶、李丹。从零开始掌握工业互联网（理论篇），人民邮电出版社，2022年1月。近三年部分论文 Zhaoquan Gu, Tong Shen, Yuexuan Wang, and Francis C.M. Lau. Efficient Rendezvous for Heterogeneous Interference in Cognitive Radio Networks. IEEE Transactions on Wireless Communications (TWC), vol. 19, no. 1, pp. 91-105, 2020 Zhaoquan Gu, Yuexuan Wang, Tong Shen, and Francis C. M. Lau. On Heterogeneous Sensing Capability for Distributed Rendezvous in Cognitive Radio Networks. IEEE Transactions on Mobile Computing, vol. 20, no. 11, pp. 3211-3226, 1 Nov. 2021 Zhaoquan Gu, Dongda Li, Nadra Guizani, Xiaojiang Du, and Zhihong Tian. An Aerial Computing Assisted Architecture for Large-Scale Sensor Networks. IEEE Wireless Communications, 2021, vol. 28, no. 5, pp. 43-49, October 2021 Zhaoquan Gu, Weixiong Hu, Chuanjing Zhang, Hui Lu, Lihua Yin, and Le Wang. Gradient Shielding: Towards Understanding Vulnerability of Deep Neural Networks. IEEE Transactions on Network Science and Engineering, vol. 8, no. 2, pp. 921-932, 2021 Zhaoquan Gu, Le Wang, Xiaolong Chen, Yunyi Tang, Xingang Wang, Xiaojiang Du, Mohsen Guizani, and Zhihong Tian. Epidemic Risk Assessment By A Novel Communication Station Based Method. IEEE Transactions on Network Science and Engineering, 2022 Zhaoquan Gu, Hao Li, Lianbing Deng, Xiaojiang Du, Mohsen Guizani, and Zhihong Tian. IEPSBP: A Cost-efficient Image Encryption Algorithm based on Parallel Chaotic System for Green IoT. IEEE Transactions on Green Communications and Networking, vol. 6, no. 1, pp. 89-106, March 2022 Zhaoquan Gu, Yan Zhu, Yuexuan Wang, Xiaojiang Du, Mohsen Guizani, and Zhihong Tian. Applying Artificial Bee Colony Algorithm to the Multi-depot Vehicle Routing Problem. Software: Practice and Experience, 2020. Zhaoquan Gu, Yinyin Cai, Sheng Wang, Mohan Li*, Jing Qiu, Shen Su, Xiaojiang Du, and Zhihong Tian. Adversarial Attacks on Content-Based Filtering Journal Recommender Systems. Computers, Materials & Continua, 2020. Zhaoquan Gu, Yu Su, Chenwei Liu, Yinyu Lyu, Yuxiang Jian, Hao Li, Zhen Cao, and Le Wang. Adversarial Attacks on License Plate Recognition Systems. Computers, Materials & Continua, 2020. Zhaoquan Gu, Yushun Xie, Weixiong Hu, Lihua Yin, Yi Han, and Zhihong Tian. Marginal Attacks of Generating Adversarial Examples for Spam Filtering. Chinese Journal of Electronics, vol. 30, no. 4, 2021 Hao Li, Lianbing Deng, and Zhaoquan Gu*. An Image Encryption Algorithm Based on Precision Limited Chaotic System. Multimedia Tools and Applications, 2020. Keke Tang, Dingruibo Miao, Weilong Peng, Jianpeng Wu, Yawen Shi, Zhaoquan Gu*, Zhihong Tian, and Wenping Wang. CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue. In ICCV, 2021 Dongda Li, Zhaoquan Gu*, Yuexuan Wang, Changwei Ren, and Francis C.M. Lau. One model packs thousands of items with recurrent conditional query learning. Knowledge-Based Systems, vol. 235, 2022 Bin Zhu, Zhaoquan Gu*, Le Wang, Jinyin Chen, and Qi Xuan. Improving Robustness of Language Models from a Geometry-aware Perspective. In ACL, 2022 Bin Zhu, Zhaoquan Gu*, Yaguan Qian, Francis C.M. Lau, and Zhihong Tian. Leveraging Transferability and Improved Beam Search in Textual Adversarial Attacks. Neurocomputing, 2022. Hao Tan, Junjian Zhang, Huan Zhang, Le Wang, Yaguan Qian and Zhaoquan Gu*. NRI-FGSM: An Efficient Transferable Adversarial Attack for Speaker Recognition Systems. In Proceedings of 23rd Annual Conference of the International Speech Communication Association (Interspeech 2022) Hao Tan, Zhaoquan Gu*, Le Wang, Huan Zhang, Brij B. Gupta and Zhihong Tian. Improving Adversarial Transferability by Temporal and Spatial Momentum in Urban Speaker Recognition Systems. Computers & Electrical Engineering, 2022 Denghui Zhang, Lijing Ren, Muhammad Shafiq, and Zhaoquan Gu*. A Privacy Protection Framework for Medical Image Security without Key Dependency based on Visual Cryptography and Trusted Computing. Computational Intelligence and Neuroscience, 2022 Keke Tang, Jianpeng Wu, Weilong Peng, Yawen Shi, Peng Song, Zhaoquan Gu, Zhihong Tian, Wenping Song. Deep Manifold Attack on Point Clouds via Parameter Plane Stretching. AAAI, 2023 Denghui Zhang, Lijing Ren, Muhammad Shafiq, and Zhaoquan Gu*. A Lightweight Privacy-Preserving System for the Security of Remote Sensing Images on IoT. Remote Sensing, 2022