Selected Publications
The full list can be found on my Google Scholar or DBLP
2026
[Esorics 2026, CORE A, CCF B] Dongkun Hou, Ying-Teng Chen, Shujie Cui, Tsz Hon Yuen, Joseph K Liu, Jiangshan Yu, “HedgeSwap: Universal Hedged Atomic Swaps Against Griefing Attacks”. pdf
[ICDCS 2026, CORE A, CCF B] Dongkun Hou, Yuanzhe Zhang, Shujie Cui, Tsz Hon Yuen, Joseph K Liu, Jiangshan Yu, “GumSwap: Griefing-Free Universal Multi-Party Atomic Swaps”. pdf
[TSC 2026, CORE A, CCF A] Cong Zuo, Bingjing Wang, Jianghua Liu, Shujie Cui, Jun Shao, Huaxiong Wang, Liehuang Zhu, Giovanni Russello, “Toward Reliable and Secure Cloud Services With Fault-Tolerant Searchable Encryption”. pdf
[TDSC 2026, CORE A, CCF A] Anxiao Song, Shujie Cui, Ke Cheng, Jianli Bai, Qifan Wang, Shangqi Lai, Giovanni Russello, Yulong Shen, “FSS-DT: Secure Division-free Decision Tree Training and Inference via Function Secret Sharing”. pdf
[ICML 2026, CORE A*, CCF A] Chenchen Tan, Xinghao Li, Shujie Cui, Youyang Qu, Cunjian Chen, Longxiang Gao. “Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure”. pdf
[IPM 2026, CORE A, CCF B] Min Tang, Lixin Zou, Shujie Cui, Weiqing Wang, Zhe Jin, Chengliang Li, Shiuan-Ni Liang. “Q-value guided Text-to-SQL generation: Structured reasoning meets efficient inference exploration”, Information Processing & Management 2026. pdf
[TETCI 2026, CORE A, CCF B] Xinghao Li, Chi Liu, Youyang Qu, Shujie Cui, Cunjian Chen, Xingliang Yuan, Zongyuan Ge, and Longxiang Gao “Navigating Unlearning in Medical AI: A Framework for Diabetic Retinopathy Classification,” in IEEE Transactions on Emerging Topics in Computational Intelligence 2026. pdf
2025
[TIFS 2025, CORE A, CCF A] Wenhao Wang, Shujie Cui, Hui Cui, Jiabao Qiu, Shuguang Yuan, Xiaojie Zhu, Jing Yu, Chi Chen, and Xun Yi. “An Unbiased and Robust Privacy-Preserving Fingerprinting Scheme for Relational Databases,” in IEEE Transactions on Information Forensics and Security 2026. pdf
[RecSys 2025, CORE A, CCF B] Yubo Wang, Min Tang, Nuo Shen, Shujie Cui, and Weiqing Wang. 2025. Privacy Risks of LLM-Empowered Recommender Systems: An Inversion Attack Perspective. In Proceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys ‘25). pdf
[NeurIPS 2025, CORE A*, CCF A] Tan, Chenchen, Youyang Qu, Xinghao Li, Hui Zhang, Shujie Cui, Cunjian Chen, and Longxiang Gao. “Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting.” pdf
[TDSC 2025, CORE A, CCF A] Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, and Giovanni Russello. “XGT: Fast and Secure Decision Tree Training and Inference on GPUs,” in IEEE Transactions on Dependable and Secure Computing 2025 pdf
[RAID 2025, CORE A, CCF B] Anxiao Song, Shujie Cui, Jianli Bai, Ke Cheng, Yulong Shen, and Giovanni Russello. “Guard-GBDT: Efficient Privacy-Preserving Approximated GBDT Training on Vertical Dataset,” pdf
[TDSC 2025, CORE A, CCF A] Anxiao Song, Ke Cheng, Jiaxuan Fu, Shujie Cui, Tao Zhang, and Zhao Chang. “Private Learning for Vertical Decision Trees: A Secure, Accurate, and Fast Realization,” pdf
[COLING 2025, CORE A, CCF B] Min Tang, Lixin Zou, Zhe Jin, Shujie Cui, Shiuan Ni Liang, and Weiqing Wang. 2025. CHIFRAUD: A Long-term Web Text Dataset for Chinese Fraud Detection. pdf
[IPM 2025, CORE A, CCF B] Min Tang, Lixin Zou, Shujie Cui, Zhe Jin, Shiuan-ni Liang, Chengliang Li, Sequential Recommendation by Reprogramming Pretrained Transformer. pdf
2024
[TrustCom/BigDataSE 2024] Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference pdf[ECML/KDD 2024] Min Tang, Lixin Zou, Shujie Cui, Shiuan-ni Liang, Zhe Jin, Unbiased Recommendation Through Invariant Representation Learning. pdf
[IEEE Blockchain 2024] Dongkun Hou, Jie Zhang, Shujie Cui, Joseph K Liu, Peer-to-Peer Energy Trading with Privacy and Fair Exchange. pdf
[PoPETS/PETS 2024] Cong Zuo, Shangqi Lai, Xingliang Yuan, Joseph K. Liu, Jun Shao, and Huaxiong Wang, Shujie Cui, Searchable Encryption for Conjunctive Queries with Extended Forward and Backward Privacy. pdf
2023
[Computers & Security] Qifan Wang, Lei Zhou, Jianli Bai, Yun Sing Koh, Shujie Cui, Giovanni Russello, HT2ML: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE. pdf
[ICICS 2023] Kassem Bagher, Shujie Cui, Xingliang Yuan, Carsten Rudolph, Xun Yi, TimeClave: Oblivious In-Enclave Time Series Processing System. pdf
[ICICS 2023] Jianli Bai, Xiaowu Zhang, Xiangfu Song, Hang Shao, Qifan Wang, Shujie Cui, Giovanni Russello, CryptoMask: Privacy-preserving Face Recognition. pdf
[PoPETS/PETS 2023] Dandan Yuan, Cong Zuo, Shujie Cui, Giovanni Russello, Result-pattern-hiding conjunctive searchable symmetric encryption with forward and backward privacy.
pdf[ACSAC 2023] Jianli Bai, Xiangfu Song, Xiaowu Zhang, Qifan Wang, Shujie Cui, Ee-Chien Chang, Giovanni Russello, Mostree: Malicious Secure Private Decision Tree Evaluation with Sublinear Communication. pdf
2022
[AsiaCCS 2022] Qifan Wang, Shujie Cui, Lei Zhou, Ocean Wu, Yonghua Zhu, Giovanni Russello, EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE. pdf
[AsiaCCS 2022] Jianli Bai, Xiangfu Song, Shujie Cui, Ee-Chien Chang, and Giovanni Russello, Scalable Private Decision Tree Evaluation with Sublinear Communication. pdf
[Euro S&P 2022] Dandan Yuan, Shujie Cui, and Giovanni Russello, We Can Make Mistakes: Fault-tolerant Forward Private Verifiable Dynamic Searchable Symmetric Encryption. pdf
Before 2022
[TOPS] Shujie Cui, Xiangfu Song, Muhammad Rizwan Asghar, Steven D. Galbraith, and Giovanni Russello, Privacy-preserving Dynamic Symmetric Searchable Encryption with Controllable Leakage. pdf
[TDSC] Shujie Cui, Sana Belguith, Pramodya De Alwis, Muhammad Rizwan Asghar, and Giovanni Russello, Collusion Defender: Preserving Subscribers’ Privacy in Publish and Subscribe Systems. pdf
[TrustCom/BigDataSE 2018] Shujie Cui, Sana Belguith, Pramodya De Alwis, Muhammad Rizwan Asghar, and Giovanni Russello, Malicious entities are in vain: Preserving privacy in publish and subscribe systems. pdf
[TDSC] Shujie Cui, Muhammad Rizwan Asghar, and Giovanni Russello, Multi- CDN: Towards privacy in content delivery networks. pdf
[ICCCN 2018] Shujie Cui, Sana Belguith, Pramodya De Alwis, Muhammad Rizwan Asghar, and Giovanni Russello, Preserving access pattern privacy in SGX-assisted encrypted search. pdf
[ACM SAC 2018] Sana Belguith, Shujie Cui, Muhammad Rizwan Asghar, and Giovanni Russello, Secure Publish and Subscribe Systems with Efficient Revocation. pdf
[LCN 2017] Shujie Cui, Muhammad Rizwan Asghar, and Giovanni Russello, Privacy-Preserving Content Delivery Networks. pdf
[ACISP 2017] Shujie Cui, Muhammad Rizwan Asghar, Steven D. Galbraith, and Giovanni Russello, Secure and practical searchable encryption: A position paper. pdf
[CLOUD 2017] Shujie Cui, Muhammad Rizwan Asghar, Steven D. Galbraith, and Giovanni Russello, P-McDb: Privacy-Preserving Search Using Multi-Cloud Encrypted Databases. pdf
[FPS 2017] Shujie Cui, Muhammad Rizwan Asghar, Steven D. Galbraith, and Giovanni Russello, ObliviousDB: Practical and Efficient Searchable Encryption with Controllable Leakage. pdf
[ISPEC 2014] Shujie Cui, Johann Großschädl, Zhe Liu, and Qiuliang Xu, High-speed elliptic curve cryptography on the NVIDIA GT200 graphics processing unit
