Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs. - Ye Dong; Xiaojun Chen 004; Weizhan Jing; Kaiyun Li; Weiping Wang 005 (IACR Cryptol. ePrint Arch., 2023)

Lightweight Secure Aggregation for Personalized Federated Learning with Backdoor Resistance. - Tingyu Fan; Xiaojun Chen; Ye Dong; Xudong Chen; Yuexin Xuan; Weizhan Jing (ACSAC, 2024)

Roger: A Round Optimized GPU-Friendly Secure Inference Framework. - Xudong Chen; Xiaojun Chen 004; Ye Dong; Weizhan Jing; Tingyu Fan; Qinghui Zhang (ICC, 2024)

Comet: Communication-Efficient Batch Secure Three-Party Neural Network Inference with Client-Aiding. - Tingyu Fan; Xiaojun Chen 004; Ye Dong; Xudong Chen; Weizhan Jing (ICC, 2024)

FedShelter: Efficient privacy-preserving federated learning with poisoning resistance for resource-constrained IoT network. - Tingyu Fan; Xiaojun Chen 004; Xudong Chen; Ye Dong; Weizhan Jing; Zhendong Zhao (Comput. Networks, 2025)

VCR: Fast Private Set Intersection with Improved VOLE and CRT-Batching. - Weizhan Jing; Xiaojun Chen; Xudong Chen; Ye Dong; Yaxi Yang; Qiang Liu (IACR Cryptol. ePrint Arch., 2025)