Dr. Jiahui Hu
胡佳慧
Professor
School of Mathematics and Computer Science
The Nanchang University
Email:
IEB B404, 999 Xuefu BLVD
Nanchang, Jiangxi, 330000

Research Interests
AI Security, Privacy and Security in Federated Learning, Mobile Crowdsensing.
Selected Publications
SoK: On Gradient Leakage in Federated Learning
The 34th USENIX Security Symposium (USENIX Security) 2025CCF A
An Incentive Framework for Task Offloading in Edge Computing Marketplaces under Price Competition
IEEE Transactions on Mobile Computing (TMC) 2025CCF A
Poisoning Attacks to Knowledge Distillation-based Federated Learning
IEEE Transactions on Information Forensics and Security 2025CCF A
Does Differential Privacy Really Protect Federated Learning from Gradient Leakage Attacks?
IEEE Transactions on Mobile Computing (TMC) 2024CCF A
When Federated Learning Meets Knowledge Distillation
IEEE Wireless Communications 2024
Federated Large Language Model: Solutions, Challenges and Future Directions
IEEE Wireless Communications 2024
Shield Against Gradient Leakage Attacks: Adaptive Privacy-Preserving Federated Learning
IEEE/ACM Transactions on Networking (ToN) 2023CCF A
Location Privacy-Aware Task Offloading in Mobile Edge Computing
IEEE Transactions on Mobile Computing 2023CCF A
Label-free Poisoning Attack against Deep Unsupervised Domain Adaptation
IEEE Transactions on Dependable and Secure Computing 2023CCF A
Towards Privacy-Driven Truthful Incentives for Mobile Crowdsensing Under Untrusted Platform
IEEE Transactions on Mobile Computing 2023CCF A
Threats to Training: A Survey of Poisoning Attacks and Defenses on Machine Learning Systems
ACM Computing Surveys 2023
Towards Personalized Task-Oriented Worker Recruitment in Mobile Crowdsensing
IEEE Transactions on Mobile Computing 2021CCF A
Towards Demand-Driven Dynamic Incentive for Mobile Crowdsensing Systems
IEEE Transactions on Wireless Communications 2020
Towards Privacy-preserving Incentive for Mobile Crowdsensing Under An Untrusted Platform
IEEE INFOCOM 2019 - IEEE Conference on Computer Communications 2019CCF A
Personalized Privacy-Preserving Task Allocation for Mobile Crowdsensing
IEEE Transactions on Mobile Computing 2019CCF A
Heterogeneous incentive mechanism for time-sensitive and location-dependent crowdsensing networks with random arrivals
Computer Networks 2018CCF B
Pay On-Demand: Dynamic Incentive and Task Selection for Location-Dependent Mobile Crowdsensing Systems
2018 IEEE 38th International Conference on Distributed Computing 2018CCF B
Academic Services
- Journal Reviewer at IEEE Transactions on Information Forensics and Security
View All
Awards & Honors
- Second Prize of Research and Innovation Scholarship, Wuhan University(2019)
View All