New Assumptions and Efficient Cryptosystems from the e-th Power Residue Symbol. - Xiaopeng Zhao; Zhenfu Cao; Xiaolei Dong; Jun Shao 001; Licheng Wang; Zhusen Liu (IACR Cryptol. ePrint Arch., 2020)

Two Secure and Efficient Lightweight Data Aggregation Schemes for Smart Grid. - Jiawei Qian; Zhenfu Cao; Xiaolei Dong; Jiachen Shen; Zhusen Liu; Yunxiu Ye (IEEE Trans. Smart Grid, 2021)

A verifiable privacy-preserving data collection scheme supporting multi-party computation in fog-based smart grid. - Zhusen Liu; Zhenfu Cao; Xiaolei Dong; Xiaopeng Zhao; Haiyong Bao; Jiachen Shen (Frontiers Comput. Sci., 2022)

EPMDA-FED: Efficient and Privacy-Preserving Multidimensional Data Aggregation Scheme With Fast Error Detection in Smart Grid. - Zhusen Liu; Zhenfu Cao; Xiaolei Dong; Xiaopeng Zhao; Tian Liu 005; Haiyong Bao; Jiachen Shen (IEEE Internet Things J., 2022)

Efficient Large-Scale Multi-party Computation Based on Garbled Circuit. - Zhusen Liu; Jiafei Wu; Zhe Liu 001 (ISPEC, 2024)

Collusion-Resilient and Maliciously Secure Cloud- Assisted Two-Party Computation Scheme in Mobile Cloud Computing. - Zhusen Liu; Weizheng Wang 001; Yutong Ye 001; Nan Min; Zhenfu Cao; Lu Zhou 002; Zhe Liu 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Efficient and Privacy-Preserving Cloud-Assisted Two-Party Computation Scheme in Heterogeneous Networks. - Zhusen Liu; Luyao Wang; Haiyong Bao; Zhenfu Cao; Lu Zhou 002; Zhe Liu 001 (IEEE Trans. Ind. Informatics, 2024)

SEAF: Secure Evaluation on Activation Functions with Dynamic Precision for Secure Two-Party Inference. - Hao Guo; Zhaoqian Liu; Ximing Fu; Zhusen Liu (IACR Cryptol. ePrint Arch., 2025)

Higher Residuosity Attacks on Small RSA Subgroup Decision Problems. - Xiaopeng Zhao; Zhenfu Cao; Xiaolei Dong; Zhusen Liu (IACR Cryptol. ePrint Arch., 2025)

Privacy-Enhanced Federated WiFi Sensing for Health Monitoring in Internet of Things. - Zhuotao Lian; Qingkui Zeng; Zhusen Liu; Haoda Wang; Chuan Ma; Weizhi Meng 001; Chunhua Su; Kouichi Sakurai (IEEE Internet Things J., 2025)

FitLight: Federated Imitation Learning for Plug-and-Play Autonomous Traffic Signal Control. - Yutong Ye 001; Yingbo Zhou; Zhusen Liu; Xiao Du; Hao Zhou; Xiang Lian 001; Mingsong Chen 001 (CoRR, 2025)

MLFormer: a high performance MPC linear inference framework for transformers. - Siqi Liu; Zhusen Liu; Donglong Chen; Wangchen Dai; Lu Zhou 002; Zhe Liu 001; Ray C. C. Cheung; Çetin Kaya Koç (J. Cryptogr. Eng., 2025)