Xiaoning (Maggie) Liu

Senior Lecturer, ARC DECRA Fellow

School of Computing Technologies
RMIT University
Email: xiaoning.liu@rmit.edu.au

Research

SC2ale: Secure Collaborative Computation at Scale

Teaching

Courses, invited seminars, and knowledge sharing.

Miscellaneous

Community roles, editorial service, and recognitions.

I am an ARC Discovery Early Career Researcher Awardee (DECRA Fellow) and a Senior Lecturer (US Associate Professor equivalent) at the School of Computing Technologies, RMIT University, Melbourne, Australia. I earned my Ph.D. degree in Computer Science at RMIT University in 2022.

I am the recipient of the ARC DECRA Award 2026, the sole Best Paper Award of ESORICS 2021, the RMIT HDR Research Prize 2023. My work has appeared in prestigious venues in computer security, such as USENIX Security, NDSS, IEEE TDSC, TIFS. I have served on the technical program committee (TPC member) of USENIX Security, EuroS&P, ASIACCS, and the program co-chair of LAMPS at CCS 2025. I also serve as an Associate Editor for IEEE TSC.

News

[Apr 26] Our paper "Hardening Output Privacy for Secure Inference: a Lightweight Realization via Distributed Trust" has been accepted by ICDCS'26. Congrats, Xinqian!
[Apr 26] I am invited to serve on the program committee for PETS'27/PoPETs'27, CIKM'26, ICDCS'26, ProvSec'26.
[Mar 26] I am invited to give a talk "SIGuard: Guarding Secure Inference with Post Data Privacy" at UQ Data Science Discipline Seminar Series - Responsible AI, University of Queensland.
[Feb 26] I am invited to give a talk "Oblivious Inference on Graph Neutral Network" at the National Research Center on Digital Trust, NTU, Singapore.
[Jul 25] Our paper "Unsupervised Backdoor Detection and Mitigation for Spiking Neural Networks" has been accepted by RAID'25. Congrats, Jiachen!
[Dec 24] Our paper "SIGuard: Guarding Secure Inference with Post Data Privacy" has been accepted by NDSS'25. Congrats, Xinqian!
[Dec 24] I have been awarded the sole STEM College Learning and Teaching Award for Excellence - Early Career Educator 2024.
[Oct 21] Our paper "MediSC: Towards Secure and Lightweight Deep Learning as a Medical Diagnostic Service" has received the Best Paper Award of ESORICS 2021.