Xiaoning Liu

Orcid: 0000-0002-9874-8839

Affiliations:
  • RMIT University, School of Computing Technologies, Melbourne, VIC, Australia


According to our database1, Xiaoning Liu authored at least 12 papers between 2017 and 2024.

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Bibliography

2024
OblivGNN: Oblivious Inference on Transductive and Inductive Graph Neural Network.
Proceedings of the 33rd USENIX Security Symposium, 2024

2023
MUD-PQFed: Towards Malicious User Detection on model corruption in Privacy-preserving Quantized Federated learning.
Comput. Secur., October, 2023

Securely Outsourcing Neural Network Inference to the Cloud With Lightweight Techniques.
IEEE Trans. Dependable Secur. Comput., 2023

2022
Leia: A Lightweight Cryptographic Neural Network Inference System at the Edge.
IEEE Trans. Inf. Forensics Secur., 2022

Privacy-Preserving Collaborative Analytics on Medical Time Series Data.
IEEE Trans. Dependable Secur. Comput., 2022

Deep learning-based medical diagnostic services: A secure, lightweight, and accurate realization.
J. Comput. Secur., 2022

MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning.
CoRR, 2022

2021
[inline-graphic not available: see fulltext] : Towards Secure and Lightweight Deep Learning as a Medical Diagnostic Service.
Proceedings of the Computer Security - ESORICS 2021, 2021

2019
Privacy-Preserving Collaborative Medical Time Series Analysis Based on Dynamic Time Warping.
Proceedings of the Computer Security - ESORICS 2019, 2019

2018
Towards Privacy-Preserving Forensic Analysis for Time-Series Medical Data.
Proceedings of the 17th IEEE International Conference On Trust, 2018

2017
EncSIM: An encrypted similarity search service for distributed high-dimensional datasets.
Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

Enabling Privacy-assured Mobile Advertisement Targeting and Dissemination.
Proceedings of the Fifth ACM International Workshop on Security in Cloud Computing, 2017


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