Dr. Tianqing Zhu 

Professor PhD/Master Supervisor

Vice Dean (Research), Faculty of Data Science

E-mail: tqzhu@cityu.edu.mo 

Contact: +853-85902275 

Educational background

2014 PhD in Computer Science, Deakin University, Australia

2004 Master of Detection Technology and Automatic Equipment, Wuhan University, China

2000 Bachelor of Applied Chemistry, Wuhan University, China

Position

Vice Dean, Faculty of Data Science, City University of Macau

Professor, PhD Supervisor, School of Data Science, City University of Macau

Personal profile:

Before join City University of Macau, Zhu Tianqing was a lecturer at Deakin University in Australia, an associate professor at the University of Technology Sydney, and a professor at China University of Geosciences (Wuhan). She was also a College of Expert (CoE) in Australian Research Council. She has led and participated in Eight Australian Research Council projects with a total research funding of more than 4 million Australian dollars. In China, She has led one youth project and one general project of the National Natural Science Foundation of China, all of which are themes of artificial intelligence and data security. With correspondence/first work, she has published more than 40 CCF A papers such as NDSS, S&P, USENIX, IEEE Transactions, etc. She has published 300 SCI papers in total. She serves as PC Member of the International Conference on Security CCS 2025, PC Member of the International Conference on Artificial Intelligence AAAI, IJCAI, and Associate Editor of 3 SCI journals; She has been selected into Stanford's top 2% scientists in the world in 2023, and has supervised more than twenty PhD students. She has committed to the field of artificial intelligence security, focusing on key scientific issues such as intelligent model security attack and defense, data privacy, and the relationship between security and fairness, and improving the security, privacy protection and output fairness of intelligent models.

Recruitment:

Currently recruiting PhD students, Master students and Postdoctoral fellows (Macau Young Scholars Program) with scientific research enthusiasm. Research interests focus on information security, artificial intelligence and artificial intelligence security. Scholarships are offered for outstanding doctoral and master students.

Subjects taught

Parallel computing, big data and applications, artificial intelligence security

Research direction

Artificial intelligence security, privacy protection, cyberspace security

Select publication in recent three years

1.Ye, Dayong; Zhu, Tianqing*; Li, Jiayang; Gao, Kun; Liu, Bo; Zhang, Leo Yu; Zhou, Wanlei; Zhang, Yang. Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning. 34rd USENIX Security Symposium (USENIX Security 2025, Accepted on Feb 2025). (CCF A)

2.Ye, Dayong; Zhu, Tianqing*; Wang, Shang; Liu, Bo; Zhang, Leo Yu; Zhou, Wanlei; Zhang, Yang. Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI. 34rd USENIX Security Symposium (USENIX Security 2025 Accepted on Feb 2025). (CCF A)

3.Ye, Dayong; Zhu, Tianqing*; Zhu, Congcong; Wang, Derui; Gao, Kun; Shi, Zewei; Shen, Sheng; Zhou, Wanlei; Xue, Minhui. Reinforcement Unlearning. Reinforcement Unlearning. The Network and Distributed System Security (NDSS) Symposium 2025. (CCF A)

4.Han, Changzhou; Deng, Zehang; Ma, Wanlun; Zhu, Xiaogang; Xue, Jason (Minhui); Zhu, Tianqing; Wen, Sheng; Xiang, Yang. Codebreaker: Dynamic Extraction Attacks on Code Language Models. IEEE Symposium on Security and Privacy 2025 (IEEE S&P 2025 Accepted on March 2025) (CCF A)

5.Ye, Dayong; Chen, Huiqiang; Zhou, Shuai; Zhu, Tianqing*; Zhou, Wanlei; Ji, Shouling. "Model Inversion Attack Against Transfer Learning: Inverting a Model Without Querying It," in IEEE Transactions on Dependable and Secure Computing, 05 March 2025, doi: 10.1109/TDSC.2025.3548119. (CCF A)

6.Sun, Hui; Zhu, Tianqing*; Li, Jie; Zhou, Wanlei. "Average and Strict GAN-based Reconstruction for Adversarial Example Detection," in IEEE Transactions on Dependable and Secure Computing, 27 February 2025. doi: 10.1109/TDSC.2025.3545879. (CCF A)

7.Ye, Dayong; Zhu, Tianqing*; Gao, Kun; Zhu, Congcong; Zhou, Wanlei. "Cooperating or Kicking Out: Defending against Poisoning Attacks in Federated Learning via the Evolution of Cooperation," in IEEE Transactions on Dependable and Secure Computing, 21 January 2025. doi: 10.1109/TDSC.2025.3532351. (CCF A)

8.Chen, Huiqiang; Zhu, Tianqing*; Zhou, Wanlei; Zhao, Wei. "AFed: Algorithmic Fair Federated Learning," in IEEE Transactions on Neural Networks and Learning Systems, 22 January 2025, doi: 10.1109/TNNLS.2025.3528012.

9.Chen, Huajie; Zhu, Tianqing*; Zhang, Lefeng; Liu, Bo; Wang, Derui; Zhou, Wanlei; Xue, Minhui. "QUEEN: Query Unlearning Against Model Extraction," in IEEE Transactions on Information Forensics and Security, vol. 20, pp. 2143-2156, 2025, doi: 10.1109/TIFS.2025.3538266. (CCF A)

10.Han, Mengde; Zhu, Tianqing*; Zhang, Lefeng; Huo, Huan; Zhou, Wanlei. "Vertical Federated Unlearning via Backdoor Certification," in IEEE Transactions on Services Computing, 29 January 2025. doi: 10.1109/TSC.2025.3536312. (CCF A)

11.Tian, Huan; Liu, Bo; Zhu, Tianqing*; Zhou, Wanlei; Philip, S Yu. "MultiFair: Model Fairness With Multiple Sensitive Attributes," in IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 3, pp. 5654-5667, March 2025, doi: 10.1109/TNNLS.2024.3384181. 

12.Chen, Huiqiang; Zhu, Tianqing*; Yu, Xin; Zhou, Wanlei. 2024. Machine unlearning via null space calibration. In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI 2024). Article 40, 358–366. https://doi.org/10.24963/ijcai.2024/40. (CCF A)

13.Tian, Huan; Zhang, Guangsheng; Liu, Bo; Zhu, Tianqing *; Ding, Ming; Zhou, Wanlei. 2024. When fairness meets privacy: exploring privacy threats in fair binary classifiers via membership inference attacks. In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI 2024). Article 57, 512–520. https://doi.org/10.24963/ijcai.2024/57. (CCF A)

14.Chen, Huiqiang; Zhu, Tianqing*; Liu, Bo; Zhou, Wanlei; Philip, S Yu. "Fine-tuning a Biased Model for Improving Fairness," in IEEE Transactions on Big Data, 13 September 2024. doi: 10.1109/TBDATA.2024.3460537.

15.Tian, Huan; Liu, Bo; Zhu, Tianqing*; Zhou, Wanlei; Philip, S Yu. "Distilling Fair Representations From Fair Teachers," in IEEE Transactions on Big Data, 13 September 2024. doi: 10.1109/TBDATA.2024.3460532.

16.Du, Xiaobiao; Sun, Haiyang; Lu, Ming; Zhu, Tianqing; Yu, Xin.  “DreamCar: Leveraging Car-Specific Prior for In-the-Wild 3D Car Reconstruction.” IEEE Robotics and Automation Letters 10 (2024): 1840-1847.

17.Guan, Faqian; Zhu, Tianqing*; Sun, Hui; Zhou, Wanlei; Philip, S Yu. "Large Language Models for Link Stealing Attacks Against Graph Neural Networks," in IEEE Transactions on Big Data, 07 November 2024. doi: 10.1109/TBDATA.2024.3489427.

18.Zhang, Lefeng; Zhu, Tianqing*; Xiong, Ping; Zhou, Wanlei. 2024. The Price of Unlearning: Identifying Unlearning Risk in Edge Computing. ACM Trans. Multimedia Comput. Commun. Appl. May 2024). https://doi.org/10.1145/3662184.

19.Xu, Heng; Zhu, Tianqing*; Zhang, Lefeng; Zhou, Wanlei; Zhao, Wei. "Toward Efficient Target-Level Machine Unlearning Based on Essential Graph," in IEEE Transactions on Neural Networks and Learning Systems, 26 December 2024, doi: 10.1109/TNNLS.2024.3514607.

20.Xu, Heng; Zhu, Tianqing*; Zhou, Wanlei; Zhao, Wei. "Don't Forget Too Much: Towards Machine Unlearning on Feature Level," in IEEE Transactions on Dependable and Secure Computing, 23 July 2024. doi: 10.1109/TDSC.2024.3432169. (CCF A)

21.Xu, Heng; Zhu, Tianqing*; Zhang, Lefeng; Zhou, Wanlei; Philip, S Yu. "Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation," in IEEE Transactions on Big Data, 05 June 2024. doi: 10.1109/TBDATA.2024.3409947.

22.Zhou, Shuai; Zhu, Tianqing*; Ye, Dayong; Zhou, Wanlei; Zhao, Wei. "Inversion-Guided Defense: Detecting Model Stealing Attacks by Output Inverting," in IEEE Transactions on Information Forensics and Security, vol. 19, pp. 4130-4145, 2024, doi: 10.1109/TIFS.2024.3376190. (CCF A)

23.Zhang, Guangsheng; Liu, Bo; Tian, Huan; Zhu, Tianqing; Ding, Ming; Zhou, Wanlei. 2024. How does a deep learning model architecture impact its privacy? a comprehensive study of privacy attacks on CNNs and transformers. In Proceedings of the 33rd USENIX Conference on Security Symposium (USENIX 2024). USENIX Association, USA, Article 380, 6795–6812. (CCF A)

24.Ye, Dayong; Zhu, Tianqing*; Gao, Kun; Zhou, Wanlei. "Defending Against Label-Only Attacks via Meta-Reinforcement Learning," in IEEE Transactions on Information Forensics and Security, vol. 19, pp. 3295-3308, 2024, doi: 10.1109/TIFS.2024.3357292. (CCF A)

25.Chen, Huajie; Zhu, Tianqing*; Liu, Chi; Yu, Shui; Zhou, Wanlei. "High-Frequency Matters: Attack and Defense for Image-Processing Model Watermarking," in IEEE Transactions on Services Computing, vol. 17, no. 4, pp. 1565-1579, July-Aug. 2024, doi: 10.1109/TSC.2024.3349784. (CCF A)

26.Xu, Heng; Zhu, Tianqing*; Zhang, Lefeng; Zhou, Wanlei; Yu, Philip S. 2023. Machine Unlearning: A Survey. ACM Computing Surveys. 56, 1, Article 9 (January 2024), 36 pages. https://doi.org/10.1145/3603620. (Highly Cited Paper)

27.Sun, Hui; Zhu, Tianqing*; Li, Jie; Ji, Shoulin; Zhou, Wanlei. "Attribute-Based Membership Inference Attacks and Defenses on GANs," in IEEE Transactions on Dependable and Secure Computing, vol. 21, no. 4, pp. 2376-2393, July-Aug. 2024, doi: 10.1109/TDSC.2023.3305591. (CCF A)

28.Chen, Huiqiang; Zhu, Tianqing*; Zhang, Tao; Zhou, Wanlei; Yu, Philip S. 2023. Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff. ACM Computing Surveys. 56, 2, Article 39 (February 2024), 37 pages. https://doi.org/10.1145/3606017. (Highly Cited Paper)

29.Zhou, Shuai; Zhu, Tianqing*; Ye, Dayong; Yu, Xin; Zhou, Wanlei. "Boosting Model Inversion Attacks With Adversarial Examples," in IEEE Transactions on Dependable and Secure Computing, vol. 21, no. 3, pp. 1451-1468, May-June 2024, doi: 10.1109/TDSC.2023.3285015. (CCF A)

30.Zhang, Lefeng; Zhu, Tianqing*; Zhang, Haibin; Xiong, Ping; Zhou, Wanlei. "FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks," in IEEE Transactions on Information Forensics and Security, vol. 18, pp. 4732-4746, 2023, doi: 10.1109/TIFS.2023.3297905. (CCF A)

31.Liu, Chi; Zhu, Tianqing*; Shen, Sheng; Zhou, Wanlei. 2023. Towards robust gan-generated image detection: a multi-view completion representation. In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI '23). Article 52, 464–472. https://doi.org/10.24963/ijcai.2023/52. (CCF A)

32.Zhu, Congcong; Cheng, Zishuo; Ye, Dayong; Hussain, Farookh Khadeer; Zhu, Tianqing*; Zhou, Wanlei. "Time-Driven and Privacy-Preserving Navigation Model for Vehicle-to-Vehicle Communication Systems," in IEEE Transactions on Vehicular Technology, vol. 72, no. 7, pp. 8459-8470, July 2023, doi: 10.1109/TVT.2023.3248613.

33.Liu, Chi; Chen, Huajie; Zhu, Tianqing*; Zhang, Jun; Zhou, Wanlei. "Making DeepFakes More Spurious: Evading Deep Face Forgery Detection via Trace Removal Attack," in IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 6, pp. 5182-5196, Nov.-Dec. 2023, doi: 10.1109/TDSC.2023.3241604. (CCF A)

34.Zhu, Tianqing*; Ye, Dayong; Zhou, Shuai; Liu, Bo; Zhou, Wanlei. "Label-Only Model Inversion Attacks: Attack With the Least Information," in IEEE Transactions on Information Forensics and Security, vol. 18, pp. 991-1005, 2023, doi: 10.1109/TIFS.2022.3233190. (CCF A)

35.Zhu, Tianqing*; Ye, Dayong; Cheng, Zishuo; Zhou, Wanlei; Philip, S Yu. "Learning Games for Defending Advanced Persistent Threats in Cyber Systems," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 4, pp. 2410-2422, April 2023, doi: 10.1109/TSMC.2022.3211866. 

36.Hao, Xiaohan; Ren, Wei; Fei, Yangyang; Zhu, Tianqing; Choo, Kim-Kwang Raymond. "A Blockchain-Based Cross-Domain and Autonomous Access Control Scheme for Internet of Things," in IEEE Transactions on Services Computing, vol. 16, no. 2, pp. 773-786, 1 March-April 2023, doi: 10.1109/TSC.2022.3179727.(CCF A)

37.Zhang, Lefeng; Zhu, Tianqing*; Hussain, Farookh Khadeer; Ye, Dayong; Zhou, Wanlei. "A Game-Theoretic Method for Defending Against Advanced Persistent Threats in Cyber Systems," in IEEE Transactions on Information Forensics and Security, vol. 18, pp. 1349-1364, 2023, doi: 10.1109/TIFS.2022.3229595. (CCF A)

38.Liu, Yizhi; Hao, Xiaohan; Ren, Wei; Xiong, Ruoting; Zhu, Tianqing; Choo, Kim-Kwang Raymond; Min, Geyong. "A Blockchain-Based Decentralized, Fair and Authenticated Information Sharing Scheme in Zero Trust Internet-of-Things," in IEEE Transactions on Computers, vol. 72, no. 2, pp. 501-512, 1 Feb. 2023, doi: 10.1109/TC.2022.3157996. (CCF A)

39.Zhang, Lefeng; Zhu, Tianqing*; Xiong, Ping; Zhou, Wanlei; Philip, S Yu. "A Game-Theoretic Federated Learning Framework for Data Quality Improvement," in IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 11, pp. 10952-10966, 1 Nov. 2023, doi: 10.1109/TKDE.2022.3230959. (CCF A)

40.Yang, Mengmeng; Tjuawinata, Ivan; Lam, Kwok-Yan; Zhu, Tianqing; Zhao, Jun. "Differentially Private Distributed Frequency Estimation," in IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 5, pp. 3910-3926, 1 Sept.-Oct. 2023, doi: 10.1109/TDSC.2022.3227654. (CCF A)

41.Zhou, Shuai; Liu, Chi; Ye, Dayong; Zhu, Tianqing*; Zhou, Wanlei; Yu, Philip S. 2022. Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity. ACM Computing Surveys. 55, 8, Article 163 (August 2023), 39 pages. https://doi.org/10.1145/3547330.

42.Hu, Xiangyu; Zhu, Tianqing*; Zhai, Xuemeng; Wang, Hengming; Zhou, Wanlei; Zhao, Wei. "Privacy Data Diffusion Modeling and Preserving in Online Social Network," in IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 6, pp. 6224-6237, 1 June 2023, doi: 10.1109/TKDE.2022.3176948. (CCF A)

43.Zhang, Guangsheng; Liu, Bo; Zhu, Tianqing; Ding, Ming; Zhou, Wanlei. "Label-Only Membership Inference Attacks and Defenses in Semantic Segmentation Models," in IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 2, pp. 1435-1449, 1 March-April 2023, doi: 10.1109/TDSC.2022.3154029. (CCF A)

44.Ye, Dayong; Zhu, Tianqing*; Zhu, Congcong; Zhou, Wanlei; Philip, S Yu. "Model-Based Self-Advising for Multi-Agent Learning," in IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 10, pp. 7934-7945, Oct. 2023, doi: 10.1109/TNNLS.2022.3147221. 

45.Liu, Chi; Zhu, Tianqing*; Zhang, Jun; Zhou, Wanlei. 2022. Privacy Intelligence: A Survey on Image Privacy in Online Social Networks. ACM Computing Survey. 55, 8, Article 161 (August 2023), . https://doi.org/10.1145/3547299.

46.Zhang, Lefeng; Zhu, Tianqing*; Xiong, Ping; Zhou, Wanlei; Philip, S Yu."A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy," in IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 4, pp. 3333-3346, 1 April 2023, doi: 10.1109/TKDE.2021.3140131. (CCF A)

47.Sun, Hui; Zhu, Tianqing*; Zhang, Zhiqiu; Jin, Dawei; Xiong, Ping; Zhou, Wanlei. "Adversarial Attacks Against Deep Generative Models on Data: A Survey," in IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 4, pp. 3367-3388, 1 April 2023, doi: 10.1109/TKDE.2021.3130903. (CCF A)

48.Hu, Xiangyu; Zhu, Tianqing*; Zhai, Xuemeng; Zhou, Wanlei; Zhao, Wei. "Privacy Data Propagation and Preservation in Social Media: A Real-World Case Study," in IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 4, pp. 4137-4150, 1 April 2023, doi: 10.1109/TKDE.2021.3137326. (CCF A)

49.Zhang, Tao; Zhu, Tianqing*; Gao, Kun; Zhou, Wanlei; Philip, S Yu. "Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria," in IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 9, pp. 5557-5569, Sept. 2023, doi: 10.1109/TNNLS.2021.3129592.

50.Liao, Tingting; Lei, Zhen; Zhu, Tianqing; Zeng, Shan; Li, Yaqin; Yuan, Cao. "Deep Metric Learning for K Nearest Neighbor Classification," in IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 1, pp. 264-275, 1 Jan. 2023, doi: 10.1109/TKDE.2021.3090275. (CCF A)

51.Ye, Dayong; Shen, Sheng; Zhu, Tianqing*; Liu, Bo; Zhou, Wanlei. "One Parameter Defense—Defending Against Data Inference Attacks via Differential Privacy," in IEEE Transactions on Information Forensics and Security, vol. 17, pp. 1466-1480, 2022, doi: 10.1109/TIFS.2022.3163591. (CCF A)

52.Zhang, Lefeng; Zhu, Tianqing*; Xiong, Ping; Zhou, Wanlei; Yu, Philip S. 2021. More than Privacy: Adopting Differential Privacy in Game-theoretic Mechanism Design. ACM Computing Surveys. 54, 7, Article 136 (September 2022), 37 pages. https://doi.org/10.1145/3460771.

53.Zhu, Tianqing*; Zhou, Wei; Ye, Dayong; Cheng, Zishuo; Li, Jin. "Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning," in IEEE Internet of Things Journal, vol. 9, no. 2, pp. 1414-1426, 15 Jan.15, 2022, doi: 10.1109/JIOT.2021.3086910. 

54.Zhu, Tianqing; Li, Jin; Hu, Xiangyu; Xiong, Ping; Zhou, Wanlei. "The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks," in IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 6, pp. 2962-2974, 1 June 2022, doi: 10.1109/TKDE.2020.3015835. (CCF A)

55.Ye, Dayong; Zhu, Tianqing*; Cheng, Zishuo; Zhou, Wanlei; Philip, S Yu. "Differential Advising in Multiagent Reinforcement Learning," in IEEE Transactions on Cybernetics, vol. 52, no. 6, pp. 5508-5521, June 2022, doi: 10.1109/TCYB.2020.3034424.

56.Zhu, Tianqing*; Ye, Dayong; Wang, Wei; Zhou, Wanlei; Philip, S Yu. "More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence," in IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 6, pp. 2824-2843, 1 June 2022, doi: 10.1109/TKDE.2020.3014246. (CCF A)

57.Ye, Dayong; Zhu, Tianqing*; Shen, Sheng; Zhou, Wanlei; Philip, S Yu. "Differentially Private Multi-Agent Planning for Logistic-Like Problems," in IEEE Transactions on Dependable and Secure Computing, vol. 19, no. 2, pp. 1212-1226, 1 March-April 2022, doi: 10.1109/TDSC.2020.3017497. (CCF A)

58.Zhang, Tao; Zhu, Tianqing*; Li, Jing; Han, Mengde; Zhou, Wanlei; Yu, Philip. "Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination," in IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 4, pp. 1763-1774, 1 April 2022, doi: 10.1109/TKDE.2020.3002567. (CCF A)