About me

I am a PhD candidate in the Department of Computer Science at Virginia Tech supervised by Prof. Wenjing Lou and Prof. Yi Shi. My research area is network security and information privacy. I am particularly interested in the topics related to wireless security, CPS and IoT security, and machine learning security and privacy.

Education

• B.S. in Communications Engineering, Beijing University of Posts and Telecommunications, 2015-2019
• Ph.D. in Computer Science, Virginia Tech, 2019-now

News

• Our paper ‘MedLeak: Harvesting Multimodal Medical Data in Secure Federated Learning with Crafted Models’ has been accepted by the IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies 2025 (CHASE 2025). (Feb. 2025)
• Our paper ‘FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning’ has been accepted by IEEE Transactions on Dependable and Secure Computing (TDSC 2025). (Feb. 2025)
• Our paper ‘StarCast: A Secure and Spectrum-Efficient Group Communication Scheme for LEO Satellite Networks’ has been accepted by the IEEE International Symposium on Dynamic Spectrum Access Networks 2025 (DySPAN 2025). (Feb. 2025)
• Our paper ‘Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction’ has been accepted by the Network and Distributed System Security Symposium 2025 (NDSS 2025). (Nov. 2024)
• Our paper ‘ProFLingo: A Fingerprinting-based Intellectual Property Protection Scheme for Large Language Models’ won the Best Paper Award at the IEEE Conference on Communications and Network Security 2024 (CNS 2024). (Aug. 2024)
• Our paper ‘ProFLingo: A Fingerprinting-based Intellectual Property Protection Scheme for Large Language Models’ has been accepted by the IEEE Conference on Communications and Network Security 2024 (CNS 2024). (Aug. 2024)
• Our paper ‘Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System through Geometric Feature Learning’ has been accepted by the 25th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc 2024). (Aug. 2024)
• Our paper ‘Pri-Share: Enabling Inter-SAS Privacy Protection via Secure Multi-Party Spectrum Allocation’ has been accepted by the IEEE International Symposium on Dynamic Spectrum Access Networks 2024 (DySPAN 2024). (Feb. 2024)
• Our paper ‘TriSAS: Toward Dependable Inter-SAS Coordination with Auditability’ has been accepted by the ACM ASIA Conference on Computer and Communications Security (ASIACCS 2024). (Nov. 2023)
• Our paper ‘MINDFL: Mitigating the Impact of Imbalanced and Noisy-labeled Data in Federated Learning with Quality and Fairness-Aware Client Selection’ has been accepted by the IEEE Military Communications Conference (MILCOM 2023). (Aug. 2023)
• Our paper ‘Bijack: Breaking Bitcoin Network with TCP Vulnerabilities’ has been accepted by the 28th European Symposium on Research in Computer Security (ESORICS 2023). (Aug. 2023)
• Our paper ‘BD-SAS: Enabling Dynamic Spectrum Sharing in Low-trust Environment’ has been accepted by the IEEE Transactions on Cognitive Communications and Networking (TCCN 2023). (April. 2023)
• Our paper ‘MS-PTP: Protecting Network Timing from Byzantine Attacks’ has been accepted by the 16th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec 2023). (March. 2023)
• Our paper ‘Decentralized spectrum access system: Vision, challenges, and a blockchain solution’ has been accepted by IEEE Wireless Communications (WCM 2022). (March. 2022)
• Our paper ‘Challenges and new directions in securing spectrum access systems’ has been accepted by the IEEE Internet of Things Journal (IoT-J 2021). (April. 2021)
• Our paper ‘Session key distribution made practical for CAN and CAN-FD message authentication’ has been accepted by the Annual Computer Security Applications Conference (ACSAC 2020). (Dec. 2020)