Jiahui Hu (胡佳慧)
Ph.D Candidate

School of Cyber Science and Technology
Zhejiang University

Email: jiahuihu@zju.edu.cn
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[Biography] | [Research Interests] | [Projects] | [Selected Publications] | [Services] | [Awards and Honors]

Biography

Jiahui Hu is currently a Ph.D candidate with Zhejiang University, supervised by Prof. Zhibo Wang. She received the M.S. degree in Cyber Security from Wuhan University, China, in 2019. Her research interest focuses on federated learning and privacy.


Research Interests

AI Security, Privacy and Security in Federated Learning, Mobile Crowdsensing.


Projects

Selected Publications

(* denotes corresponding author)

Journal Papers:

  1. 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)(PDF)
  2. 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)(PDF)
  3. 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) (PDF)
  4. 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. (PDF)
  5. 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) (PDF)
  6. 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) (PDF)
  7. 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) (PDF)
  8. 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)(PDF)
  9. 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) (PDF)
  10. 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) (PDF)
  11. 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) (PDF)
  12. 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) (PDF)

Conference Papers:

  1. 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)(Acceptance Rate = 20%)
  2. 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)(Acceptance Rate = 19.6%)
  3. 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)(Acceptance Rate = 19.6%)
  4. 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)(Acceptance Rate = 25.8%)(PDF)
  5. 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)(Acceptance Rate = 19.7%)(PDF)
  6. 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)(Acceptance Rate = 20.6%)(PDF)

Services
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Journal Reviewer:

  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Mobile Computing
  • IEEE/ACM Transactions on Networking

Awards and Honors
  • National Scholarship, Ministry of Education, 2013, 2018
  • Second Prize of Research and Innovation Scholarship, Wuhan University, 2019
  • Outstanding Graduate, Wuhan University, 2016, 2019
  • Luoge Scholarship, Wuhan University, 2018