Enabling Privacy-assured Mobile Advertisement Targeting and Dissemination. - Zhenkui Shi; Xiaoning Liu 002; Xingliang Yuan (SCC@AsiaCCS, 2017)

EncSIM: An encrypted similarity search service for distributed high-dimensional datasets. - Xiaoning Liu 002; Xingliang Yuan; Cong Wang 001 (IWQoS, 2017)

Towards Privacy-Preserving Forensic Analysis for Time-Series Medical Data. - Xiaoning Liu 002; Xingliang Yuan; Joseph K. Liu (TrustCom/BigDataSE, 2018)

Privacy-Preserving Collaborative Medical Time Series Analysis Based on Dynamic Time Warping. - Xiaoning Liu 002; Xun Yi (ESORICS (2), 2019)

[inline-graphic not available: see fulltext] : Towards Secure and Lightweight Deep Learning as a Medical Diagnostic Service. - Xiaoning Liu 002; Yifeng Zheng; Xingliang Yuan; Xun Yi (ESORICS (1), 2021)

MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning. - Hua Ma; Qun Li 005; Yifeng Zheng; Zhi Zhang 001; Xiaoning Liu 002; Yansong Gao 001; Said F. Al-Sarawi; Derek Abbott (CoRR, 2022)

Deep learning-based medical diagnostic services: A secure, lightweight, and accurate realization. - Xiaoning Liu 002; Yifeng Zheng; Xingliang Yuan; Xun Yi (J. Comput. Secur., 2022)

Privacy-Preserving Collaborative Analytics on Medical Time Series Data. - Xiaoning Liu 002; Yifeng Zheng; Xun Yi; Surya Nepal (IEEE Trans. Dependable Secur. Comput., 2022)

Leia: A Lightweight Cryptographic Neural Network Inference System at the Edge. - Xiaoning Liu 002; Bang Wu; Xingliang Yuan; Xun Yi (IEEE Trans. Inf. Forensics Secur., 2022)

Securely Outsourcing Neural Network Inference to the Cloud With Lightweight Techniques. - Xiaoning Liu 002; Yifeng Zheng; Xingliang Yuan; Xun Yi (IEEE Trans. Dependable Secur. Comput., 2023)

MUD-PQFed: Towards Malicious User Detection on model corruption in Privacy-preserving Quantized Federated learning. - Hua Ma; Qun Li 005; Yifeng Zheng; Zhi Zhang 001; Xiaoning Liu 002; Yansong Gao 001; Said F. Al-Sarawi; Derek Abbott (Comput. Secur., 2023)

TrustMIS: Trust-Enhanced Inference Framework for Medical Image Segmentation. - Fuyi Wang; Jinzhi Ouyang; Lei Pan 002; Leo Yu Zhang; Xiaoning Liu 002; Yanping Wang; Robin Doss (ECAI, 2024)

Model Extraction Attack on MPC Hardened Vertical Federated Learning. - Xinqian Wang; Xiaoning Liu 002; Xun Yi (ProvSec (1), 2024)

OblivGNN: Oblivious Inference on Transductive and Inductive Graph Neural Network. - Zhibo Xu; Shangqi Lai; Xiaoning Liu 002; Alsharif Abuadbba; Xingliang Yuan; Xun Yi (USENIX Security Symposium, 2024)

Model Extraction Attacks on Privacy-Preserving Deep Learning Based Medical Services. - Xinqian Wang; Xiaoning Liu 002; Xun Yi; Xuechao Yang; Iqbal Gondal (WISE (2), 2024)

SIGuard: Guarding Secure Inference with Post Data Privacy. - Xinqian Wang; Xiaoning Liu 002; Shangqi Lai; Xun Yi; Xingliang Yuan (NDSS, 2025)

Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation. - He Zhang 012; Bang Wu; Xiangwen Yang; Xingliang Yuan; Xiaoning Liu 002; Xun Yi (WWW, 2025)

${ sf GoCrowd}$GoCrowd: Obliviously Aggregating Crowd Wisdom With Quality Awareness in Crowdsourcing. - Xiaoning Liu 002; Yifeng Zheng; Xingliang Yuan; Xun Yi (IEEE Trans. Dependable Secur. Comput., 2025)

Query Correlation Attack Against Searchable Symmetric Encryption With Supporting for Conjunctive Queries. - Hanyong Liu; Lei Xu 019; Xiaoning Liu 002; Lin Mei; Chungen Xu (IEEE Trans. Inf. Forensics Secur., 2025)

MedShield: A Fast Cryptographic Framework for Private Multi-Service Medical Diagnosis. - Fuyi Wang; Jinzhi Ouyang; Xiaoning Liu 002; Lei Pan 002; Leo Yu Zhang; Robin Doss (IEEE Trans. Serv. Comput., 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 002 (ACM Comput. Surv., 2025)