From October 24 to 25, 2026, the faculty of Data Science at City University of Macau organized a delegation of 20 faculty members and more than 20 students to attend the 9th Academic Conference on Big Data Security and Privacy Computing and the 2nd Academic Conference on Privacy Computing in Shenzhen.During the conference, the Faculty hosted a thematic forum on “Data Security,” featuring presentations by eight invited experts. The participation and organization of the forum strengthened academic ties between City University of Macau and other universities and research institutions, creating opportunities for future research collaboration in data security and privacy computing. The event also provided faculty members and students with valuable opportunities to explore cutting-edge research developments, exchange academic insights, and gain inspiration for their future research and studies.The two academic conferences were jointly held in Shenzhen from October 23 to 26, 2026. They were organized by the Big Data Security and Privacy Computing Committee of the Chinese Information Processing Society of China and the Editorial Office of the Journal on Communications, respectively. The conferences were jointly hosted by the Institute of Cyberspace Security, Faculty of Computing, Harbin Institute of Technology (Shenzhen), and the Faculty of Cyberspace Science and Technology, Harbin Institute of Technology. The Faculty of Data Science at City University of Macau served as one of the co-organizers.

The 9th Academic Conference on Big Data Security and Privacy Computing was held under the theme “Privacy Computing as the Driving Force, Data Security as the Foundation, and Artificial Intelligence as the Enabler: Building a New Ecosystem for Data Circulation and Utilization.” The conference focused on academic discussions concerning privacy computing, data security, and AI security. Its program featured keynote presentations, thematic forums, and closed-door discussions, addressing key topics such as personal information protection, secure data circulation, and the practical applications of related technologies.The thematic forum on “Data Security” was held on the morning of October 25, chaired by Dean Zhu Tianqing, with Program Coordinators Ying Zuobin and Liu Chi taking primary responsibility for its preparation and organization. Focusing on data security, the forum explored a range of related topics, including security verification of protocols, AI-generated content security and provenance tracing, data protection in mobile networks, and privacy-preserving learning.

Group Photo of Guests, Faculty Members, and Students at the “Data Security” Thematic Forum

At the forum, Professor Chen Jing from Wuhan University delivered a presentation titled “From Ideal Assumptions to Real-World Security: Methods and Practices of Formal Protocol Verification.” Drawing on representative applications, Professor Chen introduced methods for protocol security analysis and discussed how real-world threats can be incorporated into formal models to make verification results more applicable to practical systems. Professor Mao Zhendong from the University of Science and Technology of China delivered a presentation titled “Content Safety in Multimodal Large Models.” Focusing on the expanding capabilities and applications of multimodal large models, Professor Mao explored emerging challenges in model content safety and discussed safety constraints for long-term operation and collaborative scenarios.

Professor Chen Jing Delivering His Presentation (Left) and Professor Mao Zhendong Delivering His Presentation (Right)

Professor Cao Jin from Xidian University delivered a presentation titled “Mobile Network Data Security in the AI Era: Advances in Standards and Technical Research.” He introduced recent developments in standards and technological research related to mobile network data security in the context of advances in artificial intelligence. Professor Yin Zhaoxia from East China Normal University delivered a presentation titled “Provenance Tracing: Data–Models–Agents.” Focusing on the three dimensions of data, models, and intelligent agents, Professor Yin shared research insights and perspectives on provenance tracing in artificial intelligence.

Professor Cao Jin Delivering His Presentation (Left) and Professor Yin Zhaoxia Delivering Her Presentation (Right)

Researcher Liu Tingwen from the Institute of Information Engineering, Chinese Academy of Sciences, delivered a presentation titled “Cross-Domain Knowledge Mining and Its Applications for Combating Online Harms.” Addressing the challenges of tackling harmful online activities, he introduced research on cross-domain knowledge mining and its practical applications. Professor Wu Si from South China University of Technology delivered a presentation titled “Domain Adaptive Learning and Trustworthy Intelligence in Data-Constrained Environments.” Focusing on domain adaptive learning and trustworthy AI under limited data availability, Professor Wu shared research insights and perspectives on these topics.

Researcher Liu Tingwen Delivering His Presentation (Left) and Professor Wu Si Delivering His Presentation (Right)

Professor Hua Zhongyun from Harbin Institute of Technology (Shenzhen) delivered a presentation titled “Secure, Efficient, and Privacy-Preserving Federated Learning Technologies.” He introduced research on secure federated learning, efficient collaborative training, and privacy-preserving federated graph learning, while exploring technological directions for integrating privacy computing with artificial intelligence. Tenured Associate Professor Xiang Liyao from Shanghai Jiao Tong University delivered a presentation titled “Research on Large Language Model Watermarking Technologies: Trustworthiness and Efficiency.” Focusing on the trustworthiness and efficiency of watermarking techniques for large language models, Professor Xiang shared research insights that provide valuable references for the provenance tracing and protection of AI-generated content.

Professor Hua Zhongyun Delivering His Presentation (Left) and Tenured Associate Professor Xiang Liyao Delivering His Presentation (Right)

During the conference, City University of Macau received the “Best Organization Award (Host and Co-organizing Institutions),” while faculty member Liu Chi was presented with the “Best Organization Award (Individual).” These awards recognized the contributions and dedication of the Faculty and its faculty members to conference organization and academic exchange.

Best Organization Award Ceremony for Institutions (Left) and Best Organization Award Ceremony for Individuals (Right)