Faculty

Email:yiping@sjtu.edu.cn
Institute:Institute of Cybersecurity
Brief Introduction
Senior Member, IEEE; Senior Member, China Computer Federation (CCF)Engaged in long-term research in the fields of cybersecurity and artificial intelligence security. Presided over a number of national and Shanghai municipal projects, including the National Key R&D Program, National 863 Program, National Natural Science Foundation of China, General Armament Department Pre-research Fund, and Key Science and Technology Research Projects of Shanghai Municipal Science and Technology Commission.
He has published more than 100 academic research papers in renowned international academic journals and conferences, including top-tier international journals and conferences such as IEEE Transactions on Multimedia, INFOCOM, ICC, and GlobeCom.
Education
The M.S. degree in computer science from the Tongji University, Shanghai, China.
The Ph.D degree at the department of Computing and Information Technology, Fudan University, China.
Teaching Assignment
《Artificial Intelligence Security》, Undergraduate Professional Course
《Mobile Communications》, Undergraduate Professional Course
《Principles of Artificial Intelligence Security》, Graduate Professional Course
《Mobile Network Security》, Graduate Professional Course
《Principles of Wireless Networks》, Graduate Professional Course
Publications
1. Xuhong Wang,Haoyu Jiang,Yi Yu,Jingru Yu,Yilun Lin,Ping Yi*,Yingchun Wang, Yu Qiao,Li Li,Fei-Yue Wang,“Building intelligence identification system via large language model watermarking: a survey and beyond”,Artificial Intelligence Review,Vol.58,2025
2. Zehui Zhang,Futai Zou*,Jianan Hong,Libo Chen,Ping Yi,“Detection and Analysis of Broken Access Control Vulnerabilities in App–Cloud Interaction in IoT”,IEEE Internet of Things Journal,vol.11, No.17, 2024
3. Bolun Wu, Futai Zou, Ping Yi,Yue Wu,, Liang Zhang, “SlicedLocator: Code Vulnerability Locator Based on Sliced Dependence Graph”, Computers & Security, Vol. 134, November 2023
4. Yihao Li, Ping Yi*, “A Contrastive Learning Framework for Detecting Anomalous Behavior in Commodity Trading Platforms”, Applied Sciences, vol.13, No.9, 2023
5. Baixi Lai, Ping Yi*, Yu Sui, Qingquan Zhang, “Energy distribution in EV energy network under energy shortage”, Neurocomputing, Vol. 444, pp179-188, July 2021
6. Zhiyang Xia,Ping Yi*,Yunyu Liu,Bo Jiang,Wei Wang,Ting Zhu,“GENPass: A Multi-Source Deep Learning Model for Password Guessing”,IEEE Transaction on Multimedia,vol.22, No.5, pp1323 – 1332, May, 2020
7. Cheng Huang, Ping Yi*, Futai Zou, Yao Yao, Wei Wang, and Ting Zhu, "CCID: Cross-Correlation Identity Distinction Method for Detecting Shrew DDoS," Wireless Communications and Mobile Computing, vol. 2019, pp1-9, February 21, 2019
8. Qingquan Zhang, Yao Yao, Ting Zhu, Ziqiao Zhou, Wei Xu, Ping Yi, Sheng Xiao, “Dynamic Enhanced Field Division: An Advanced Localizing and Tracking Middleware”, ACM Transactions on Sensor Networks (TOSN), Vol.15, No.1, pp 1-26, December 2018
9. Ping Yi*, Yuxiang Guan, Futai Zou, Yao Yao, Wei Wang, and Ting Zhu, “Web Phishing Detection Using a Deep Learning Framework”, Wireless Communications and Mobile Computing, Vol.2018, pp 1-9, September, 2018
10. Jianwen Xu , Ping Yi*, Wei Wang, Ting Zhu, "A Power Storage Station Placement Algorithm for Power Distribution Based on Electric Vehicle", International Journal of Distributed Sensor Networks, Vol.13, Vol.2, pp 1-10, February 2017
11. Jialin Gao, Ping Yi*, Zicheng Chi, Ting Zhu, "A smart medical system for dynamic closed-loop blood glucose-insulin control", Smart Health(Elsevier), Vol.1, pp 18-33, June 2017
12. Ping Yi*, Ting Zhu, Bo Jiang, Ruofan Jin, Bing Wang, "Deploying Energy Routers in an Energy Internet Based on Electric Vehicles", IEEE Transactions on Vehicular Technology, Vol.65, No.6, pp. 4714-4725, June, 2016
13. Ping Yi*, Ting Zhu, Qingquan Zhang, Yue Wu, Li Pan, "Puppet Attack: A Denial of Service Attack in Advanced Metering Infrastructure Network", Journal of Network and Computer Applications, Vol.59, No.1, pp. 325–332, January, 2016
14. HaiYang Yu, Tian Xie, Jiaping Gui, Pengyang Wang, Pengzhou Cheng, Ping Yi*, Yue Wu,“BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation”,Th e 2025 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 3 - 7 August, 2025,Toronto, Canada
15. Yidong Ding, Jiafei Niu and Ping Yi*, “MBTSAD: Mitigating Backdoors in Language Models Based on Token Splitting and Attention Distillation”, The IEEE International Conference on Tools with Artificial Intelligence (ICTAI2024), 28-30 October, 2024, Herndon, VA, USA
16. Haoyu Jiang,Haiyang Yu,Nan Li,Ping Yi*, “OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection”, IEEE International Joint Conference on Neural Networks (IJCNN2024), 30 June - 5th July, 2024, Yokohama, Japan
17. Yong Xiao, Jin Ma,Ping Yi*,Xiuzhen Chen, “Sponge Backdoor Attack: Increasing the Latency of Object Detection Exploiting Non-Maximum Suppression”, IEEE International Joint Conference on Neural Networks (IJCNN2024), 30 June - 5th July, 2024, Yokohama, Japan
18. Haoyu Jiang,Nan Li,Ping Yi*, “PUBA: A Physical Undirected Backdoor Attack in Vision-based UAV Detection and Tracking Systems”, IEEE International Joint Conference on Neural Networks (IJCNN2024), 30 June - 5th July, 2024, Yokohama, Japan
19. Tianming Zheng, Zhixin Tong, Ping Yi*, Yue Wu,Automated Generation of Bug Samples Based on Source Code Analysis,29th Asia-Pacific Software Engineering Conference (APSEC 2022), December 6-9, 2022, Virtually
20. Xiang Li, Yihao Li, Ping Yi*, Graph-based Malicious Account Groups Detection in Electronic Trading of Bulk Commodities,The 9th IEEE International Conference on Cyber Security and Cloud Computing,June 25-27, 2022, Xi'an, China
21. Dongliang Guan, Sheng Liu, Yihao Li, Ping Yi*, Graph-based Algorithm For Self-trading Accounts Detection in Bulk Commodity Trade, The 9th IEEE International Conference on Cyber Security and Cloud Computing,June 25-27, 2022, Xi'an, China
22. Chenqi Xie, Ping Yi*, Baowen Zhang, Futai Zou, “DeepMark: Embedding Watermarks into Deep Neural Network Using Pruning” The IEEE International Conference on Tools with Artificial Intelligence (ICTAI2021), 1-3 November 2021, Virtually
23. Giulia Serafini, Ping Yi*, Qingquan Zhang, Marco Brambillay, Jiayue Wangk, Yiwei Hu and Beibei Li, “Sentiment-Driven Price Prediction of the Bitcoin based on Statistical and Deep Learning Approaches”, IEEE International Joint Conference on Neural Networks (IJCNN2020), 19 - 24th July, 2020, Glasgow, UK
24. 谢天, 李强, 鞠卓亚, 韩嘉祺, 易平*,“人工智能后门防御评估方法及其架构研究”,智能科学与技术学报,Vol.6,No.3,2024,pp.381-393
25. 李南,丁益东,江浩宇,牛佳飞,易平*,“面向大语言模型的越狱攻击综述”,计算机研究与发展,Vol.65,No.5,2024,pp.1-26
26. 林点,潘理,易平*,“面向图像识别的卷积神经网络鲁棒性研究进展”,网络与信息安全学报,Vol.8,No.3,2022,pp.111-122
27. 邱宝琳,易平*,“基于多维特征图知识蒸馏的对抗样本防御方法”,网络与信息安全学报,Vol.8,No.2,2022,pp.88-99
28. 张维,易平*,“一种基于知识蒸馏的神经网络鲁棒性迁移方法”,信息安全学报,Vol.6,No.4,2021,pp.60-71
29. 陈皓,易平*,“基于图神经网络的代码漏洞检测方法”,网络与信息安全学报,Vol.7,No.3,2021,pp.37-45.
30. 王科迪,易平*,“人工智能对抗环境下的模型鲁棒性研究综述”,信息安全学报,Vol.5,No.3,2020,pp.13-22
Project Fund
National Natural Science Foundation of China (NSFC), Research on Transmission and Exchange Models of Energy Internet Based on Electric Vehicles, Principal Investigator.
National High-Tech Research and Development Program (863 Program), Research on Real-Time Intrusion Detection and Active Defense Mechanisms in Wireless Ad Hoc Networks, Principal Investigator.
Shanghai Natural Science Foundation, Research on Transmission and Exchange Models of Energy Internet Based on Electric Vehicles, Principal Investigator.
Shanghai Natural Science Foundation, Research on Active Security Protection Models for Wireless Mesh Networks, Principal Investigator.
Aerospace Science and Technology Foundation, Robustness Evaluation Methods for Deep Neural Network Models, Principal Investigator.
Shanghai Commercial Aircraft Joint Fund, Research on Remote Loading Technology for Airborne Line-Replaceable Software Based on ARINC827 Standard, Principal Investigator.
CPIC–SJTU AI Joint Laboratory Project, AI-Based Vulnerability Mining Methods, Principal Investigator.
Huawei Innovation Research Program (HIRP), Adversarial Example Attacks and Defenses in AI Computing Processes, Principal Investigator.
Huawei Innovation Research Program (HIRP), Adversarial Example Defense Based on Feedback Networks, Principal Investigator.
Huawei Innovation Research Program (HIRP), Artificial Intelligence-Based Vulnerability Mining, Principal Investigator.
CCF–NSFOCUS “Kunpeng” Fund, Artificial Intelligence-Based Vulnerability Detection Technology, Principal Investigator.
Action of Science and Technology Personnel Serving Enterprises, Ministry of Science and Technology, Research, Development and Industrialization of Secure and Controllable Wireless Mesh Network Routers, Principal Investigator.