Xiaoning Liu

According to our database, Xiaoning Liu authored at least 21 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

A Survey on Federated Unlearning: Challenges, Methods, and Future Directions.

Ziyao Liu, Yu Jiang, Jiyuan Shen, Minyi Peng, Kwok-Yan Lam, Xingliang Yuan, Xiaoning Liu

ACM Comput. Surv., January, 2025

MedShield: A Fast Cryptographic Framework for Private Multi-Service Medical Diagnosis.

Fuyi Wang, Jinzhi Ouyang, Xiaoning Liu, Lei Pan, Leo Yu Zhang, Robin Doss

IEEE Trans. Serv. Comput., 2025

Query Correlation Attack Against Searchable Symmetric Encryption With Supporting for Conjunctive Queries.

Hanyong Liu, Lei Xu, Xiaoning Liu, Lin Mei, Chungen Xu

IEEE Trans. Inf. Forensics Secur., 2025

${\sf GoCrowd}$GoCrowd: Obliviously Aggregating Crowd Wisdom With Quality Awareness in Crowdsourcing.

Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, Xun Yi

IEEE Trans. Dependable Secur. Comput., 2025

Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation.

He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Xiaoning Liu, Xun Yi

Proceedings of the ACM on Web Conference 2025, 2025

SIGuard: Guarding Secure Inference with Post Data Privacy.

Xinqian Wang, Xiaoning Liu, Shangqi Lai, Xun Yi, Xingliang Yuan

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

2024

Model Extraction Attacks on Privacy-Preserving Deep Learning Based Medical Services.

Xinqian Wang, Xiaoning Liu, Xun Yi, Xuechao Yang, Iqbal Gondal

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

OblivGNN: Oblivious Inference on Transductive and Inductive Graph Neural Network.

Zhibo Xu, Shangqi Lai, Xiaoning Liu, Alsharif Abuadbba, Xingliang Yuan, Xun Yi

Proceedings of the 33rd USENIX Security Symposium, 2024

Model Extraction Attack on MPC Hardened Vertical Federated Learning.

Xinqian Wang, Xiaoning Liu, Xun Yi

Proceedings of the Provable and Practical Security, 2024

TrustMIS: Trust-Enhanced Inference Framework for Medical Image Segmentation.

Fuyi Wang, Jinzhi Ouyang, Lei Pan, Leo Yu Zhang, Xiaoning Liu, Yanping Wang, Robin Doss

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

MUD-PQFed: Towards Malicious User Detection on model corruption in Privacy-preserving Quantized Federated learning.

Hua Ma, Qun Li, Yifeng Zheng, Zhi Zhang, Xiaoning Liu, Yansong Gao, Said F. Al-Sarawi, Derek Abbott

Comput. Secur., October, 2023

Securely Outsourcing Neural Network Inference to the Cloud With Lightweight Techniques.

Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, Xun Yi

IEEE Trans. Dependable Secur. Comput., 2023

2022

Leia: A Lightweight Cryptographic Neural Network Inference System at the Edge.

Xiaoning Liu, Bang Wu, Xingliang Yuan, Xun Yi

IEEE Trans. Inf. Forensics Secur., 2022

Privacy-Preserving Collaborative Analytics on Medical Time Series Data.

Xiaoning Liu, Yifeng Zheng, Xun Yi, Surya Nepal

IEEE Trans. Dependable Secur. Comput., 2022

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

Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, Xun Yi

J. Comput. Secur., 2022

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

Hua Ma, Qun Li, Yifeng Zheng, Zhi Zhang, Xiaoning Liu, Yansong Gao, Said F. Al-Sarawi, Derek Abbott

CoRR, 2022

2021

[inline-graphic not available: see fulltext] : Towards Secure and Lightweight Deep Learning as a Medical Diagnostic Service.

Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, Xun Yi

Proceedings of the Computer Security - ESORICS 2021, 2021

2019

Privacy-Preserving Collaborative Medical Time Series Analysis Based on Dynamic Time Warping.

Xiaoning Liu, Xun Yi

Proceedings of the Computer Security - ESORICS 2019, 2019

2018

Towards Privacy-Preserving Forensic Analysis for Time-Series Medical Data.

Xiaoning Liu, Xingliang Yuan, Joseph K. Liu

Proceedings of the 17th IEEE International Conference On Trust, 2018

2017

EncSIM: An encrypted similarity search service for distributed high-dimensional datasets.

Xiaoning Liu, Xingliang Yuan, Cong Wang

Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

Enabling Privacy-assured Mobile Advertisement Targeting and Dissemination.

Zhenkui Shi, Xiaoning Liu, Xingliang Yuan

Proceedings of the Fifth ACM International Workshop on Security in Cloud Computing, 2017