STAFF PROFILE
Dr. Maggie Liu
Position:
Lecturer, Cybersecurity and Software Systems
College / Portfolio:
STEM College
School / Department:
STEM|School of Computing Technologies
Email:
xiaoning.liu@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
- Liu, M.,Zheng, Y.,Yuan, X.,Yi, X. (2023). Securely Outsourcing Neural Network Inference to the Cloud with Lightweight Techniques In: IEEE Transactions on Dependable and Secure Computing, 20, 620 - 636
- Cui, H.,Liao, J.,Yu, Z.,Xie, Y.,Liu, X.,Guo, B. (2023). Trust assessment for mobile crowdsensing via device fingerprinting In: ISA Transactions, 141, 93 - 102
- Zhang, B.,Cui, H.,Liu, X.,Chen, Y.,Yu, Z.,Guo, B. (2023). Decentralized and secure deduplication with dynamic ownership in MLaaS In: Journal of Information Security and Applications, 76, 1 - 11
- Ma, H.,Li, Q.,Zheng, Y.,Zhang, Z.,Liu, X.,Gao, Y.,Al-Sarawi, S.,Abbott, D. (2023). MUD-PQFed: Towards Malicious User Detection on Model Corruption in Privacy-Preserving Quantized Federated Learning In: Computers and Security, 133, 1 - 24
- Liu, X.,Wu, B.,Yuan, X.,Yi, X. (2022). Leia: A Lightweight Cryptographic Neural Network Inference System at the Edge In: IEEE Transactions on Information Forensics and Security, 17, 237 - 252
- Liu, X.,Zheng, Y.,Yi, X.,Nepal, S. (2022). Privacy-Preserving Collaborative Analytics on Medical Time Series Data In: IEEE Transactions on Dependable and Secure Computing, 19, 1687 - 1702
- Liu, X.,Zheng, Y.,Yuan, X.,Yi, X. (2022). Deep learning-based medical diagnostic services: A secure, lightweight, and accurate realization In: Journal of Computer Security, 30, 795 - 827
- Zhang, B.,Cui, H.,Chen, Y.,Liu, X.,Yu, Z.,Guo, B. (2022). Enabling Secure Deduplication in Encrypted Decentralized Storage In: Network and System Security, Springer, Online
- Liu, X.,Zheng, Y.,Yuan, X.,Yi, X. (2021). MediSC: Towards Secure and Lightweight Deep Learning as a Medical Diagnostic Service In: Proceedings of the 26th European Symposium on Research in Computer Security, Part I(ESORICS 2021), Darmstadt, Germany, 4–8 October 2021
- Liu, M.,Yi, X. (2019). Privacy-Preserving Collaborative Medical Time Series Analysis Based on Dynamic Time Warping In: ESORICS 2019: Computer Security – ESORICS 2019, Luxembourg, September 23–27, 2019
5 PhD Current Supervisions
- Privacy-Preserving Collaborative Analytics on Sensitive Data. Funded by: ARC-Linkage Project from (2024 to 2027)
- Empowering Female Cybersecurity Leaders: Bridging the Gender Gap in Cybersecurity Education - Global Impact Grant 2024 (Advance HE Gift). Funded by: Advance HE - Gift from (2024 to 2025)