Full Publications

Note: * equal contribution; † corresponding author.

Conferences

Lichao Sun, Yuncheng Wu, Haichao Sha, Xinjian Luo, Mingyang Yi, Meihui Zhang, Cuiping Li, Hong Chen. 2026. Black-Box Embedding Inversion Attack on Vector Databases. The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026). arXivPDF
Hongyan Chang, Ergute Bao, Xinjian Luo†, Ting Yu. 2026. Overcoming the Retrieval Barrier: Indirect Prompt Injection in the Wild for LLM Systems. The 35th USENIX Security Symposium (USENIX Security 2026; Acc. 14%). arXivPDF
Xinjian Luo, Ting Yu, Xiaokui Xiao. 2025. Prompt Inference Attack on Distributed Large Language Model Inference Frameworks. ACM Conference on Computer and Communications Security (CCS 2025; Acc. 14.5%). arXivPDF
Yangfan Jiang, Xinjian Luo, Yin Yang, Xiaokui Xiao. 2025. Calibrating Noise for Group Privacy in Subsampled Mechanisms. The 51st International Conference on Very Large Data Bases (VLDB 2025). arXivPDF
Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, Beng Chin Ooi. 2025. Passive Inference Attacks on Split Learning via Adversarial Regularization. Network and Distributed System Security Symposium (NDSS 2025; Acc. 16.1%). arXivPDF
Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi. 2024. Protecting Label Distribution in Cross-Silo Federated Learning. The 45th IEEE Symposium on Security and Privacy (SP 2024; Acc. 17.8%). arXivPDF
Xinjian Luo, Yangfan Jiang, Xiaokui Xiao. 2022. Feature Inference Attack on Shapley Values. The 29th ACM Conference on Computer and Communications Security (CCS 2022; Acc. 22.4%). arXivPDF
Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi. 2022. A Fusion-Denoising Attack on InstaHide with Data Augmentation. The 36th AAAI Conference on Artificial Intelligence (AAAI 2022; Acc. 15%). arXivPDF
Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi. 2021. Feature Inference Attack on Model Predictions in Vertical Federated Learning. The 38th IEEE International Conference on Data Engineering (ICDE 2021). arXivPDF
Xinjian Luo, Xiaofeng Gao, Zhaowei Tan, Jiaxi Liu, Xiaochun Yang, Guihai Chen. 2018. D2-Tree: A Distributed Double-Layer Namespace Tree Partition Scheme for Metadata Management in Large-Scale Storage Systems. The 38th IEEE International Conference on Distributed Computing Systems (ICDCS 2018). arXivPDF

Journals

Xinjian Luo, Xianglong Zhang. 2025. Exploiting Defenses Against GAN-Based Feature Inference Attacks in Federated Learning. ACM Transactions on Knowledge Discovery from Data (TKDD 2025; IF 4.8). arXivPDF
Xinjian Luo, Yangfan Jiang, Fei Wei, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi. 2024. Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective. IEEE Transactions on Information Forensics and Security (TIFS 2024; IF 8.0). arXivPDF
Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaochen Zhu, Xiaokui Xiao, Beng Chin Ooi. 2024. On Data Distribution Leakage in Cross-Silo Federated Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE 2024; IF 10.4). arXivPDF
Xinjian Luo, Xiaofeng Gao, Guihai Chen. 2019. Accelerate Data Retrieval by Multi-Dimensional Indexing in Switch-Centric Data Centers. The Computer Journal (Vol. 62.2, 2019). arXivPDF
Bin Liu, Xinjian Luo, Rui Huang, Chao Wan, Bingbing Zhang, Weihua Hu, Zongge Yue. 2014. Virtual plate pre-bending for the long bone fracture based on axis pre-alignment. Computerized Medical Imaging and Graphics (Vol. 38.4, 2014; Journal Cover Artical; IF 5.4). arXivPDF

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