Wenbo Guo (郭文博) is a first-year Ph.D. student in the School of Computer and Data Science at Nanyang Technological University (NTU), advised by Prof. Yang Liu.

In 2020, he graduated with honors and earned his Bachelor’s degree from Sichuan University. He was subsequently offered direct admission to graduate school at the School of Cyber Security at Sichuan University, where he continued his academic journey towards a Master’s degree. During this stage, he was co-advised by Prof. Fang Yong and Prof. Cheng Huang.

His research interests include supply chain security and open-source intelligence.

🔥 News

• 2024.05:  🎉🎉 He was appointed as a member of the Datacon Expert Committee.
• 2024.01:  🎉🎉 He joined the Nanyang Technological University as a Ph.D. student.
• 2023.07:  🎉🎉 Our paper “An Empirical Study of Malicious Code In PyPI Ecosystem” was accepted by ASE 2023!
• 2023.06:  🎉🎉 He obtained the master’s degree from SCU.
• 2023.03:  🎉🎉 He was awarded the title of Outstanding Graduate of Sichuan Province.

📝 Publications

• Few-shot graph classification on cross-site scripting attacks detection
  • Hongyu Pan, Yong Fang, Wenbo Guo, Yijia Xu, Changhui Wang
  • Computers & Security, 2024
  • This paper is about detecting cross-site scripting attacks using the few-shot learning.
• An Empirical Study of Malicious Code In PyPI Ecosystem
  • Wenbo Guo, Zhengzi Xu, Chengwei Liu, Cheng Huang, Yong Fang, Yang Liu
  • 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)
  • This paper is the empirical study paper for the malicious packages in the PyPI Package Manager.
  • We constructed the largest PyPI malicious package dataset and open-sourced the dataset at here
• HyVulDect: a hybrid semantic vulnerability mining system based on graph neural network
  • Wenbo Guo, Yong Fang, Cheng Huang, Haoran Ou, Chun Lin, Yongyan Guo
  • Computers & Security, 2022
  • This paper is about vulnerability detection based on the graph neural network.
• Viopolicy-detector: An automated approach to detecting GDPR suspected compliance violations in websites
  • Haoran Ou, Yong Fang, Yongyan Guo, Wenbo Guo, Cheng Huang
  • Proceedings of the 25th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2022)
  • This paper is about detecting privacy compliance using machine learning method.
• Intelligent mining vulnerabilities in python code snippets
  • Wenbo Guo, Cheng Huang, Weina Niu, Yong Fang
  • Journal of Intelligent & Fuzzy Systems, 2021
  • This paper is about detecting python vulnerability using the machine learning method.
• HackerRank: Identifying key hackers in underground forums
  • Cheng Huang, Yongyan Guo, Wenbo Guo, Ying Li
  • International Journal of Distributed Sensor Networks, 2021
  • This paper is about detecting key hackers in the underground forums.
• No Pie in the Sky: The Digital Currency Fraud Website Detection
  • Haoran Ou, Yongyan Guo, Chaoyi Huang, Zhiying Zhao, Wenbo Guo, Yong Fang, Cheng Huang
  • 2021 IEEE 12th EAI International Conference on Digital Forensics & Cyber Crime (ICDF2C)
  • This paper is about detecting Ponzi cryptocurrency using machine learning methods.
• Research on QR code logistics privacy based on segmented encryption and time-limited control
  • Liang Liu, Wenbo Guo, Yuwei Yang, Huaiyu Guo
  • Chinese Journal of Network and Information Security, 2019
  • This paper is about a privacy protection scheme based on QR code segmentation encryption.

📖 Educations

• 2024.01 - Now, Ph.D. student at school of computer science and engineering, Nanyang Technological University, Singapore.
• 2020.09 - 2023.06, Postgraduate student at School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, P.R.C.
• 2016.09 - 2020.06, Undergraduate student at School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, P.R.C.

🎖 Honors and Awards

• 2023.06 Sichuan Province Government, Excellent Graduates.
• 2021.12 Sichuan University, Dahua Scholarship.
• 2019.10 Chinese Ministry of Education, National Inspirational Scholarship.

📫 Services

• Reviewer: Journal of Intelligent & Fuzzy Systems (2022)

📚 Teaching

• Part-time Student Mentor: School of Cyber Science and Engineering @ SCU, 2020-2023