Yurong Hao        

I am now a third-year Ph.D Student in School of Computer Science and Technology from Beijing Jiaotong University since 2021, advisored by Prof. Jiqiang Liu and Prof. Wei Wang. I am also a Visiting Student with the College of Computing and Data Science, Nanyang Technological University, advisored by Prof. Wei Yang Bryan Lim. Before that, I received the M.A. degrees in 2021, in College of Information Science and Technology, from Shijiazhuang Tiedao University.

My research mainly focuses on Trustworthy AI, especially poisoning attacks / defenses in distributed deep learning. My long-term goal is to advance the security and reliability of AI systems. Recently, I focus more on Trustworthy Large Foundation models (especially against Federated Recommendation), exploring their potential vulnerabilities and developing robust defense mechanisms to enhance their integrity and user trust.

News

• Our work was accepted by IEEE TIFS!.
• Our work was accepted by ACM CCS, 2024!.

Selected Publications [google scholar] [dblp]

1. Eyes on Federated Recommendation: Targeted Poisoning With Competition and Its Mitigation

   Yurong Hao, Xihui Chen, Wei Wang*, Jiqiang Liu, Tao Li, Junyong Wang, Witold Pedrycz.

   IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024.

2. Not One Less: Exploring Interplay between User Profiles and Items in Untargeted Attacks against Federated Recommendation

   Yurong Hao, Xihui Chen, Xiaoting Lyu, Jiqiang Liu, Yongsheng Zhu, Zhiguo Wan, Sjouke Mauw, Wei Wang*.

   ACM Conference on Computer and Communications Security (ACM CCS), 2024.

3. Privacy Preserving in Blockchain-based Government Data Sharing: A Service-On-Chain (SOC) Approach

   Chunhui Piao, Yurong Hao, Jiaqi Yan, Xuehong Jiang.

   Information Processing & Management. (IP&M), 2021.

4. Privacy Protection in Government Data Sharing: An Improved LDP-based Approach

   Chunhui Piao, Yurong Hao, Jiaqi Yan, Xuehong Jiang.

   Service Oriented Computing and Applications (SOCA), 2021.

Patents

• Method for Privacy Leak detection method For Vertical Federated Learning Based on Feature Embedding Analysis, Wei Wang, Yurong Hao, et al., CN116341004B, in Chinese. China Patent Granted

• Defense Method for Federated Learning Poisoning Attacks, Wei Wang, Yurong Hao, et al., CN116527393A, in Chinese. China Patent Granted

• Local Differential Privacy Method for Government Data Sharing. Chunhui Piao, Yurong Hao, et al., CN112329056B, in Chinese. China Patent Granted

• Privacy-Preserving Method for POI Recommendation. Wei Wang, Yurong Hao, et al., CN117272370B, in Chinese.China Patent Granted

Monographs

• Wei Wang et al., Privacy Preserving Computation[M], People's Posts and Telecommunications Press, 2023. Yurong Hao contributed to the writing of Section 8 (Differential Privacy)

• Wei Wang et al., Artificial Intelligence Security Assessment Technology[M], Hans Publishing House, 2023. Yurong Hao served as an Editorial Board Member

Research Projects

• Privacy Preserving Recommender System, Ant Group, 2024-2025 PI

• Privacy Preserved Methods for Federated Recommendation, innovation project for Ph.D. students at Beijing Jiaotong University, 2022-2024, completed. PI

• Privacy Preserved Methods for Government Data Sharing, innovation project for M.S. students at Hebei Province, 2019-2020, completed. PI

• Wei Wang, et al., Artificial Intelligence System Security Testing and Robust Enhancement Software and Hardware Integration, National Major Project, 2022-2024, under research. participates in project application, management and technology research and development

• Wei Wang, et al., Research on key technologies for security detection and protection of artificial intelligence applications, National Major Project, 2022-2024, under research. participates in technology research and development

• Wei Wang, et al., Trustworthy Mechanism and Key Technologies of Urban Intelligent Systems, National Key R&D Program Project, 2020-2023, completed. participates in technology research and development

Selected Awards

• Awarded the National Scholarship (2016), and National Encouragement Scholarship 2 times (2015&2017) during undergraduate studies;
• Awarded the title of "Outstanding League Cadre" during undergraduate studies (2016);
• Awarded the Academic Scholarship for two consecutive years during graduate studies (2020&2021);
• Won the third prize in the 3rd Hebei Province Graduate Student Network and Information Security Technology Competition (2019);
• Won the third prize in the "Huawei Cup" Competition at the 17th China Graduate Student Mathematical Contest in Modeling (2020);
• Awarded the title of "Outstanding Graduate of Heibei Province" and "Merit Student of Heibei Province" (2021);
• Awarded the Academic Scholarship for three consecutive years in my Ph.D. studies (2022&2023&2024);

Skills

• Research in Distributed AI Security: Established a solid research foundation in the field of trustworthy AI, with specific focus on enhancing security and privacy in distributed AI;
• Programming Proficiency: Skilled in programming languages such as Python, adept at developing efficient, scalable, and robust code;
• Data Analysis and Visualization Tools: Skilled in using software tools like Matlab, Office, etc., for data acquisition, quantitative analysis, and graphical representation.
• Proficient in English: Skilled in both oral and written communication.

Contact

Yurong Hao

Email: yurong.hao AT bjtu DOT edu DOT cn