Xiaoning Liu

30 papers A* 5A 1B 1Misc 1Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks.
AAAI
He Zhang, Bang Wu, Xiaoning Liu, Karin Verspoor, Xun Yi
2026 J jnl
Privacy-Preserving Automated Deep Learning for Secure Inference Service.
IEEE Trans. Dependable Secur. Comput.
Fuyi Wang, Jinzhi Ouyang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Xiaoning Liu, Robin Doss
2025 J jnl
${\sf GoCrowd}$GoCrowd: Obliviously Aggregating Crowd Wisdom With Quality Awareness in Crowdsourcing.
IEEE Trans. Dependable Secur. Comput.
Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, Xun Yi
2025 J jnl
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions.
ACM Comput. Surv.
Ziyao Liu, Yu Jiang, Jiyuan Shen, Minyi Peng, Kwok-Yan Lam, Xingliang Yuan, Xiaoning Liu
2025 A* conf
Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation.
WWW
He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Xiaoning Liu, Xun Yi
2025 A* conf
LAMPS '25: ACM CCS Workshop on Large AI Systems and Models with Privacy and Security Analysis.
CCS
Kwok-Yan Lam, Xiaoning Liu, Derui Wang, Bo Li, Wenyuan Xu, Jieshan Chen, Minhui Xue, Xingliang Yuan, Guangdong Bai, Shuo Wang
2025 J jnl
MedShield: A Fast Cryptographic Framework for Private Multi-Service Medical Diagnosis.
IEEE Trans. Serv. Comput.
Fuyi Wang, Jinzhi Ouyang, Xiaoning Liu, Lei Pan, Leo Yu Zhang, Robin Doss
2025 Misc conf
Privacy-Preserving Graph Data Deduplication for Deep Graph Learning.
ADC
Zhibo Xu, Yiming Qin, Shangqi Lai, Xiaoning Liu, Alsharif Abuadbba, Xingliang Yuan
2025 — ed.
Proceedings of the 2025 Workshop on Large AI Systems and Models with Privacy and Security Analysis, LAMPS 2025, TaipeiTaiwan, October 13-17, 2025
LAMPS@CCS
Kwok-Yan Lam, Xiaoning Liu, Derui Wang, Ruoxi Sun, Bo Li, Wenyuan Xu, Jieshan Chen, Jason Xue, Shuo Wang, Guangdong Bai, Xingliang Yuan
2025 — ed.
Provable and Practical Security - 18th International Conference, ProvSec 2024, Gold Coast, QLD, Australia, September 25-27, 2024, Proceedings, Part I
ProvSec (1)
Joseph K. Liu, Liqun Chen, Shi-Feng Sun, Xiaoning Liu
2025 — ed.
Provable and Practical Security - 18th International Conference, ProvSec 2024, Gold Coast, QLD, Australia, September 25-27, 2024, Proceedings, Part II
ProvSec (2)
Joseph K. Liu, Liqun Chen, Shi-Feng Sun, Xiaoning Liu
2025 J jnl
Query Correlation Attack Against Searchable Symmetric Encryption With Supporting for Conjunctive Queries.
IEEE Trans. Inf. Forensics Secur.
Hanyong Liu, Lei Xu, Xiaoning Liu, Lin Mei, Chungen Xu
2025 A* conf
SIGuard: Guarding Secure Inference with Post Data Privacy.
NDSS
Xinqian Wang, Xiaoning Liu, Shangqi Lai, Xun Yi, Xingliang Yuan
2024 — conf
Model Extraction Attack on MPC Hardened Vertical Federated Learning.
ProvSec (1)
Xinqian Wang, Xiaoning Liu, Xun Yi
2024 — conf
Model Extraction Attacks on Privacy-Preserving Deep Learning Based Medical Services.
WISE (2)
Xinqian Wang, Xiaoning Liu, Xun Yi, Xuechao Yang, Iqbal Gondal
2024 A* conf
OblivGNN: Oblivious Inference on Transductive and Inductive Graph Neural Network.
USENIX Security Symposium
Zhibo Xu, Shangqi Lai, Xiaoning Liu, Alsharif Abuadbba, Xingliang Yuan, Xun Yi
2024 A conf
TrustMIS: Trust-Enhanced Inference Framework for Medical Image Segmentation.
ECAI
Fuyi Wang, Jinzhi Ouyang, Lei Pan, Leo Yu Zhang, Xiaoning Liu, Yanping Wang, Robin Doss
2023 J jnl
MUD-PQFed: Towards Malicious User Detection on model corruption in Privacy-preserving Quantized Federated learning.
Comput. Secur.
Hua Ma, Qun Li, Yifeng Zheng, Zhi Zhang, Xiaoning Liu, Yansong Gao, Said F. Al-Sarawi, Derek Abbott
2023 J jnl
Securely Outsourcing Neural Network Inference to the Cloud With Lightweight Techniques.
IEEE Trans. Dependable Secur. Comput.
Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, Xun Yi
2022 J jnl
Deep Learning-Based Medical Diagnostic Services: A Secure, Lightweight, and Accurate Realization.
IACR Cryptol. ePrint Arch.
Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, Xun Yi
2022 J jnl
Deep learning-based medical diagnostic services: A secure, lightweight, and accurate realization.
J. Comput. Secur.
Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, Xun Yi
2022 J jnl
Leia: A Lightweight Cryptographic Neural Network Inference System at the Edge.
IEEE Trans. Inf. Forensics Secur.
Xiaoning Liu, Bang Wu, Xingliang Yuan, Xun Yi
2022 J jnl
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning.
CoRR
Hua Ma, Qun Li, Yifeng Zheng, Zhi Zhang, Xiaoning Liu, Yansong Gao, Said F. Al-Sarawi, Derek Abbott
2022 J jnl
Privacy-Preserving Collaborative Analytics on Medical Time Series Data.
IEEE Trans. Dependable Secur. Comput.
Xiaoning Liu, Yifeng Zheng, Xun Yi, Surya Nepal
2021 — conf
MediSC: Towards Secure and Lightweight Deep Learning as a Medical Diagnostic Service.
ESORICS (1)
Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, Xun Yi
2020 J jnl
Leia: A Lightweight Cryptographic Neural Network Inference System at the Edge.
IACR Cryptol. ePrint Arch.
Xiaoning Liu, Bang Wu, Xingliang Yuan, Xun Yi
2019 — conf
Privacy-Preserving Collaborative Medical Time Series Analysis Based on Dynamic Time Warping.
ESORICS (2)
Xiaoning Liu, Xun Yi
2018 — conf
Towards Privacy-Preserving Forensic Analysis for Time-Series Medical Data.
TrustCom/BigDataSE
Xiaoning Liu, Xingliang Yuan, Joseph K. Liu
2017 — conf
Enabling Privacy-assured Mobile Advertisement Targeting and Dissemination.
SCC@AsiaCCS
Zhenkui Shi, Xiaoning Liu, Xingliang Yuan
2017 B conf
EncSIM: An encrypted similarity search service for distributed high-dimensional datasets.
IWQoS
Xiaoning Liu, Xingliang Yuan, Cong Wang