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ORCIDJiahui Hu 0001
Person information
- affiliation: Nanchang University, School of Mathematics and Computer Science, Nanchang, China
- affiliation (PhD 2025): Zhejiang University, School of Cyber Science and Engineering, Hangzhou, China
- affiliation: Wuhan University, School of National Cybersecurity, wuhan, China
Other persons with the same name
- Jiahui Hu — disambiguation page
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2020 – today
- 2026
[j20]Dan Wang
, Xiaoyi Pang, Jiahui Hu, Sheng Yue, Ju Ren:
Two-Dimensional Stackelberg Game-Based Incentive Mechanism for Differential Private Federated Learning With Non-IID Data. IEEE Trans. Mob. Comput. 25(8): 12688-12703 (2026)- 2025
- [j19]Xiaoyi Pang, Zhibo Wang, Defang Liu, Jiahui Hu, Peng Sun, Meng Luo, Kui Ren:
Poisoning Attacks to Knowledge Distillation-Based Federated Learning Under Robust Aggregation Rules. IEEE Trans. Inf. Forensics Secur. 20: 7061-7076 (2025) - [j18]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 Trans. Mob. Comput. 24(9): 8492-8505 (2025) - [j17]Zhuangzhuang Zhang, Libing Wu, Zhibo Wang, Jiahui Hu, Chao Ma, Qin Liu:
Cost-Efficient and Secure Federated Learning for Edge Computing. IEEE Trans. Mob. Comput. 24(12): 13615-13632 (2025) - [j16]Jiahui Hu, Dan Wang, Zhibo Wang, Xiaoyi Pang, Huiyu Xu, Ju Ren, Kui Ren:
Federated Large Language Model: Solutions, Challenges and Future Directions. IEEE Wirel. Commun. 32(4): 82-89 (2025) - [c10]Jiacheng Du, Zhibo Wang, Jie Zhang, Xiaoyi Pang, Jiahui Hu, Kui Ren:
Textual Unlearning Gives a False Sense of Unlearning. ICML 2025 - [c9]Jiacheng Du, Jiahui Hu, Zhibo Wang, Peng Sun, Neil Gong, Kui Ren, Chun Chen:
SoK: On Gradient Leakage in Federated Learning. USENIX Security Symposium 2025: 3045-3064 - [c8]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. USENIX Security Symposium 2025: 6461-6479 - [i4]Shuaifan Jin, Xiaoyi Pang, Zhibo Wang, He Wang, Jiacheng Du, Jiahui Hu, Kui Ren:
Safeguarding LLM Embeddings in End-Cloud Collaboration via Entropy-Driven Perturbation. CoRR abs/2503.12896 (2025) - 2024
- [j15]Zhibo Wang, Wenxin Liu, Jiahui Hu, Hengchang Guo, Zhan Qin, Jian Liu, Kui Ren:
Label-Free Poisoning Attack Against Deep Unsupervised Domain Adaptation. IEEE Trans. Dependable Secur. Comput. 21(4): 1572-1586 (2024) - [j14]Zhibo Wang, Yunan Sun, Defang Liu, Jiahui Hu, Xiaoyi Pang, Yuke Hu, Kui Ren:
Location Privacy-Aware Task Offloading in Mobile Edge Computing. IEEE Trans. Mob. Comput. 23(3): 2269-2283 (2024) - [j13]Jiahui Hu, Jiacheng Du, Zhibo Wang, Xiaoyi Pang, Yajie Zhou, Peng Sun, Kui Ren:
Does Differential Privacy Really Protect Federated Learning From Gradient Leakage Attacks? IEEE Trans. Mob. Comput. 23(12): 12635-12649 (2024) - [j12]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 Trans. Netw. 32(2): 1407-1422 (2024) - [j11]Xiaoyi Pang, Jiahui Hu, Peng Sun, Ju Ren, Zhibo Wang:
When Federated Learning Meets Knowledge Distillation. IEEE Wirel. Commun. 31(5): 208-214 (2024) - [c7]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. INFOCOM 2024: 151-160 - [c6]Yajie Zhou, Xiaoyi Pang, Zhibo Wang, Jiahui Hu, Peng Sun, Kui Ren:
Towards Efficient Asynchronous Federated Learning in Heterogeneous Edge Environments. INFOCOM 2024: 2448-2457 - [c5]Shuaifan Jin, He Wang, Zhibo Wang, Feng Xiao, Jiahui Hu, Yuan He, Wenwen Zhang, Zhongjie Ba, Weijie Fang, Shuhong Yuan, Kui Ren:
FaceObfuscator: Defending Deep Learning-based Privacy Attacks with Gradient Descent-resistant Features in Face Recognition. USENIX Security Symposium 2024 - [i3]Jiacheng Du, Jiahui Hu, Zhibo Wang, Peng Sun, Neil Zhenqiang Gong, Kui Ren:
SoK: Gradient Leakage in Federated Learning. CoRR abs/2404.05403 (2024) - [i2]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. CoRR abs/2406.15731 (2024) - 2023
- [j10]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 Comput. Surv. 55(7): 134:1-134:36 (2023) - [j9]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 Trans. Mob. Comput. 22(2): 1198-1212 (2023) - [c4]Defang Liu, Zhibo Wang, Xiaoyi Pang, Yunan Sun, Jiahui Hu, Peng Sun, Yuke Hu:
Towards Efficient Edge Learning for Large Models in Heterogeneous Resource-limited Environments. BIGCOM 2023: 223-230 - [c3]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. CVPR 2023: 8212-8221 - [i1]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. CoRR abs/2305.05391 (2023) - 2022
- [j8]Xuyang Ding, Ruizhao Lv, Xiaoyi Pang, Jiahui Hu, Zhibo Wang, Xu Yang, Xiong Li:
Privacy-preserving task allocation for edge computing-based mobile crowdsensing. Comput. Electr. Eng. 97: 107528 (2022) - 2021
- [j7]Zhibo Wang, Jing Zhao, Jiahui Hu, Tianqing Zhu, Qian Wang, Ju Ren, Chao Li:
Towards Personalized Task-Oriented Worker Recruitment in Mobile Crowdsensing. IEEE Trans. Mob. Comput. 20(5): 2080-2093 (2021) - 2020
- [j6]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 Trans. Wirel. Commun. 19(7): 4907-4918 (2020)
2010 – 2019
- 2019
- [j5]Zhibo Wang, Jiahui Hu, Qian Wang, Ruizhao Lv, Jian Wei, Honglong Chen, Xiaoguang Niu:
Task-Bundling-Based Incentive for Location-Dependent Mobile Crowdsourcing. IEEE Commun. Mag. 57(2): 54-59 (2019) - [j4]Zhibo Wang, Jiahui Hu, Qian Wang, Ruizhao Lv, Jian Wei, Honglong Chen, Xiaoguang Niu:
Task Bundling Based Incentive for Location-Dependent Mobile Crowdsourcing. IEEE Commun. Mag. 57(3): 132-137 (2019) - [j3]Zhibo Wang, Xiaoyi Pang, Jiahui Hu, Wenxin Liu, Qian Wang, Yanjun Li, Honglong Chen:
When Mobile Crowdsensing Meets Privacy. IEEE Commun. Mag. 57(9): 72-78 (2019) - [j2]Zhibo Wang, Jiahui Hu, Ruizhao Lv, Jian Wei, Qian Wang, Dejun Yang, Hairong Qi:
Personalized Privacy-Preserving Task Allocation for Mobile Crowdsensing. IEEE Trans. Mob. Comput. 18(6): 1330-1341 (2019) - [c2]Zhibo Wang, Jingxin Li, Jiahui Hu, Ju Ren, Zhetao Li, Yanjun Li:
Towards Privacy-preserving Incentive for Mobile Crowdsensing Under An Untrusted Platform. INFOCOM 2019: 2053-2061 - 2018
- [j1]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. Comput. Networks 131: 96-109 (2018) - [c1]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. ICDCS 2018: 611-621
Coauthor Index
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