Ting Yu Professor and Program Director of Master in Applied AI Department of Computer Science Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) Email: ting.yu@mbzuai.ac.ae Phone: +971 2811 3037

Short Bibliography and Research Area

Ting Yu is a Professor at the Department of Computer Science, MBUZAI. He is also the director of MBZUAI's Master in Applied AI (MAAI) program. Before joining MBUZAI, Ting was the research director of the cyber security group at Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University, and an associate professor in the faculty of Computer Science Department, North Carolina State University. He obtained his BS from Peking University in 1997, MS from Minnesota University in 1998, and PhD from the University of Illinois at Urbana-Champaign in 2003, all in computer science. He is a recipient of the NSF CAREER Award in 2007.

His research areas focus on data privacy, security data analytics and network security.

Recent Professional Activities

• Editorial board member:IEEE Transactions on Dependable and Secure Computing (TDSC, 2015 - ), Computer & Security (COSE, 2017 - 2025), ACM Transactions on Privacy and Security (TISSEC/TOPS, 2014 - 2023)
• TPC member: ICDE'26, SIGMOD'25, VLDB'25, VLDB'22, AsiaCCS'21, ICDE'21, SACMAT'21, WWW'21, ICDE'20, SACMAT'20, CIKM'19, ICDCS'19, ICDE'19, CCS'19

Recent Publications

• Ahmed Lekssays, Hamza Mouhcine, Khang Tran, Ting Yu, and Issa Khalil: "LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models," USENIX Security, 2025.
• Xinjian LUo, Ting Yu, and Xiaokui Xiao: "Prompt Inference Attack on Distributed Large Language Model Inference Frameworks," ACM Conference on Computer and Communications Security (CCS), 2025.
• Bowen He, Xiaohui Hu, Yufeng Hu, Ting Yu, Rui Chang, Lei Wu, and Yajin Zhou: "Phishing Tactics Are Evolving: An Empirical Study of Phishing Contracts on Ethereum," SIGMETRICS 2025.
• Fatih Deniz, Mohamed Nabeel, Ting Yu, and Issa Khalil: "MANTIS: Detection of Zero-Day Malicious Domains Leveraging Low Reputed Hosting Infrastructure," IEEE Symposium on Security and Privacy (S&P), 2025.
• Saravanan Thirumuruganathan, Fatih Deniz, Issa Khalil, Ting Yu, Mohamed Nabeel, and Mourad Ouzzani: "Detecting and Mitigating Sampling Bias in Cybersecurity with Unlabeled Data," USENIX Security, 2024.
• Full publication list

Patents

• Mohamed Nabeel, IssaM. Khalil, Ting Yu and Euijin Choo, "Method and system for domain maliciousness assessment via real-time graph inference," US20200382533, Pending.
• Issa Khalil, Ting Yu and Marc C. Dacier, "Method to identify malicious web domain names thanks to their dynamics," US10681070, Issued on June 9, 2020.
• Graham Cormode, Divesh Srivastava, Ting Yu and Qing Zhang, "Method and apparatus for providing anonymization of data," US8590049, issued on Nov. 19, 2013
• Divesh Srivastava, Nikolaos Koudas, Ting Yu and Qing Zhang, "Systems and associated computer program products that disguise partitioned data structures using transformations having targeted distributions," US8209342, issued on Jun. 26, 2012

Honors and Awards

• Distinguished Reviewer Award, SIGMOD 2025.
• HBKU Tech Team Award, 2022.
• Best paper award, ACM Conference on Data and Application Security and Privacy, 2018.
• Best paper award, Annual IFIP WG Working Conference on Data and Applications Security and Privacy, 2015.
• Best paper award, ACM Conference on Access Control Models and Technologies, 2012.
• Research Scholarship, K.C.Wang Education Foundation, Hong Kong, 2010.
• CAREER Award, National Science Foundation (NSF), 2017.
• David J. Kuck Outstanding Ph.D. Thesis Awards, University of Illinois at Urbana-Champaign, 2003.