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) 2025
An Incentive Framework for Task Offloading in Edge Computing Marketplaces under Price Competition
IEEE Transactions on Mobile Computing (TMC) 2025
Poisoning Attacks to Knowledge Distillation-based Federated Learning
IEEE Transactions on Information Forensics and Security 2025
Does Differential Privacy Really Protect Federated Learning from Gradient Leakage Attacks?
IEEE Transactions on Mobile Computing (TMC) 2024
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) 2023
Location Privacy-Aware Task Offloading in Mobile Edge Computing
IEEE Transactions on Mobile Computing 2023
Label-free Poisoning Attack against Deep Unsupervised Domain Adaptation
IEEE Transactions on Dependable and Secure Computing 2023
Towards Privacy-Driven Truthful Incentives for Mobile Crowdsensing Under Untrusted Platform
IEEE Transactions on Mobile Computing 2023
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 2021
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 2019
Personalized Privacy-Preserving Task Allocation for Mobile Crowdsensing
IEEE Transactions on Mobile Computing 2019
Heterogeneous incentive mechanism for time-sensitive and location-dependent crowdsensing networks with random arrivals
Computer Networks 2018
Pay On-Demand: Dynamic Incentive and Task Selection for Location-Dependent Mobile Crowdsensing Systems
2018 IEEE 38th International Conference on Distributed Computing 2018
Academic Services
- Journal Reviewer at IEEE Transactions on Information Forensics and Security
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Awards & Honors
- Second Prize of Research and Innovation Scholarship, Wuhan University(2019)
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