[1] 2021-2025 浙江大学 博士研究生

[2] 2016-2019 武汉大学 硕士研究生

[3] 2012-2016 武汉大学 本科

[1] 2025-至今 特聘研究员 南昌大学

[2] 2019-2021 代码安全工程师 华为武汉研究所

科技创新2030 --“新一代人工智能”重大项目课题，机器学习模型的汇聚与迁移，2021.12-2025.11， 在研， 参与

国家优秀青年科学基金，物联网感知与安全，2022.01 - 2024.12， 已结题，参与

（*通信作者，#共同一作）

期刊论文

1. Liantao Wu, Peng Sun*, Zhibo Wang, Xiaoyi Pang, Jiahui Hu, Honglong Chen, Yang Yang. An Incentive Framework for Task Offloading in Edge Computing Marketplaces under Price Competition. IEEE Transactions on Mobile Computing (TMC), accepted, 2025. (CCF A)

2. Jiahui Hu, Dan Wang, Zhibo Wang*, Xiaoyi Pang, Huiyu Xu, Ju Ren and Kui Ren. Federated Large Language Model: Solutions, Challenges and Future Directions. IEEE Wireless Communications, accepted, 2024. (SCI 1)

3. Xiaoyi Pang, Jiahui Hu, Peng Sun, Ju Ren, and Zhibo Wang*. When Federated Learning Meets Knowledge Distillation. IEEE Wireless Communications, accepted, 2024. (SCI 1)

4. Jiahui Hu, Jiacheng Du, Zhibo Wang*, Xiaoyi Pang, Yajie Zhou, Peng Sun, and Kui Ren. Does Differential Privacy Really Protect Federated Learning from Gradient Leakage Attacks?. IEEE Transactions on Mobile Computing (TMC), accepted, 2024. (CCF A)

5. Jiahui Hu, Zhibo Wang*, Yongsheng Shen, Bohan Lin, Peng Sun, Xiaoyi Pang, Jian Liu, Kui Ren. Shield Against Gradient Leakage Attacks: Adaptive Privacy-Preserving Federated Learning. IEEE/ACM Transactions on Networking (ToN), accepted, 2023. (CCF A)

6. Zhibo Wang, Wenxin Liu*, Jiahui Hu, Hengchang Guo, Zhan Qin, Jian Liu, Kui Ren. Label-free Poisoning Attack against Deep Unsupervised Domain Adaptation. IEEE Transactions on Dependable and Secure Computing (TDSC), accepted, 2023. (CCF A)

7.Zhibo Wang, Yunan Sun, Defang Liu, Jiahui Hu*, Xiaoyi Pang, Yuke Hu, Kui Ren. Location Privacy-Aware Task Offloading in Mobile Edge Computing. IEEE Transactions on Mobile Computing (TMC), accepted, 2023. (CCF A)

8. Zhibo Wang, Kaixin Liu, Jiahui Hu*, Ju Ren, Hengchang Guo, Wei Yuan. Attrleaks on the edge: Exploiting information leakage from privacy-preserving co-inference. Chinese Journal of Electronics, 2023, 32(1): 1-12. 

9. Zhibo Wang, Jingjing Ma, Xue Wang, Jiahui Hu*, Zhan Qin, Kui Ren. Threats to Training: A Survey of Poisoning Attacks and Defenses on Machine Learning Systems. ACM Computing Surveys, vol. 55, no. 7, pp. 1-36, 2022. (SCI 1)

10. Zhibo Wang, Jingxin Li*, Jiahui Hu, Ju Ren, Qian Wang, Zhetao Li, Yanjun Li. Towards privacy-driven truthful incentives for mobile crowdsensing under untrusted platform. IEEE Transactions on Mobile Computing (TMC), vol. 22, no. 2, pp. 1198-1212, 2021. (CCF A)

11. Jiahui Hu, Zhibo Wang*, Jian Wei, Ruizhao Lv, Jing Zhao, Qian Wang, Honglong Chen, Dejun Yang. Towards demand-driven dynamic incentive for mobile crowdsensing systems. IEEE Transactions on Wireless Communications (TWC), vol. 19, no. 7, pp. 4907-4918, 2020. (SCI 1)

12. Zhibo Wang, Jing Zhao*, Jiahui Hu, Tianqing Zhu, Qian Wang, Ju Ren, Chao Li. Towards personalized task-oriented worker recruitment in mobile crowdsensing. IEEE Transactions on Mobile Computing (TMC), vol. 20, no. 5, pp. 2080-2093, 2020. (CCF A)

13. Zhibo Wang, Xiaoyi Pang, Jiahui Hu, Wenxin Liu, Qian Wang*, Yanjun Li, Honglong Chen. When mobile crowdsensing meets privacy. IEEE Communications Magazine, vol. 57, no. 3, pp. 72-78, 2019. (SCI 1)

14. Zhibo Wang, Jiahui Hu, Qian Wang*, Ruizhao Lv, Jian Wei, Honglong Chen, Xiaoguang Niu. Task-bundling-based incentive for location-dependent mobile crowdsourcing. IEEE Communications Magazine, vol. 57, no. 2, pp. 54-59, 2019. (SCI 1)

15. Zhibo Wang, Jiahui Hu, Ruizhao Lv, Jian Wei, Qian Wang*, Dejun Yang, Hairong Qi. Personalized privacy-preserving task allocation for mobile crowdsensing. IEEE Transactions on Mobile Computing (TMC), vol. 18, no. 6, pp. 1330-1341, 2018. (CCF A)

16. Zhibo Wang, Ran Tan, Jiahui Hu, Jing Zhao, Qian Wang*, Feng Xia, Xiaoguang Niu. Heterogeneous incentive mechanism for time-sensitive and location-dependent crowdsensing networks with random arrivals. Computer networks, vol. 131, pp. 96-109, 2018.  (CCF B)

会议论文 

1.Jiacheng Du, Zhibo Wang, Jie Zhang, Xiaoyi Pang, Jiahui Hu, Kui Ren. Textual unlearning gives a false sense of unlearning. The 42nd International Conference on Machine Learning (ICML), 2025, accepted. 

2.Jiacheng Du#, Jiahui Hu#, Zhibo Wang*, Peng Sun, Neil Zhenqiang Gong, Kui Ren, Chun Chen. SoK: On Gradient Leakage in Federated Learning. The 34th USENIX Security Symposium (USENIX Security), 2025, accepted. (CCF A)

3.Xiaoyi Pang, Chenxu Zhao, Zhibo Wang, Jiahui Hu, Yinggui Wang, Lei Wang, Tao Wei, Kui Ren, Chun Chen. PoiSAFL: Scalable Poisoning Attack Framework to Byzantine-resilient Semi-asynchronous Federated Learning. The 34th USENIX Security Symposium (USENIX Security), 2025, accepted. (CCF A)

4.Shuaifan Jin, He Wang, Zhibo Wang*, Feng Xiao, Jiahui Hu, Yuan He, Wenwen Zhang, Zhongjie Ba, Weijie Fang, Shuhong Yuan, and Kui Ren. FaceObfuscator: Defending Deep Learning-based Privacy Attacks with Gradient Descent-Resistant Features in Face Recognition. The 33rd USENIX Security Symposium (USENIX Security), 2024. (CCF A)

5.Zhibo Wang, Zhiwei Chang, Jiahui Hu*, Xiaoyi Pang, Jiacheng Du, Yongle Chen, Kui Ren. Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning. IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada, 2024. (CCF A)

6.Yajie Zhou, Xiaoyi Pang, Zhibo Wang*, Jiahui Hu, Peng Sun, Kui Ren. Towards Efficient Asynchronous Federated Learning in Heterogeneous Edge Environments. IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada, 2024. (CCF A)

7. Zhibo Wang*, He Wang, Shuaifan Jin, Wenwen Zhang, Jiahui Hu, Yan Wang, Peng Sun, Wei Yuan, Kaixin Liu, Kui Ren. Privacy-preserving Adversarial Facial Features. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023. (CCF A)

8.Zhibo Wang, Jingxin Li, Jiahui Hu, Ju Ren*, Zhetao Li, Yanjun Li. Towards privacy-preserving incentive for mobile crowdsensing under an untrusted platform. IEEE International Conference on Computer Communications (INFOCOM), Paris, France, 2019. (CCF A)

9.Zhibo Wang, Jiahui Hu, Jing Zhao, Dejun Yang, Honglong Chen, Qian Wang*. Pay on-demand: Dynamic incentive and task selection for location-dependent mobile crowdsensing systems. IEEE 38th International Conference on Distributed Computing Systems (ICDCS), Vienna, Austria, 2018. (CCF B)