P-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models. - Haoran Li 003; Dadi Guo; Donghao Li; Wei Fan 001; Qi Hu; Xin Liu 039; Chunkit Chan; Duanyi Yao; Yangqiu Song (CoRR, 2023)

FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models. - Songze Li; Duanyi Yao; Jin Liu (IACR Cryptol. ePrint Arch., 2023)

PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models. - Haoran Li 003; Dadi Guo; Donghao Li; Wei Fan 001; Qi Hu; Xin Liu 039; Chunkit Chan; Duanyi Yao; Yuan Yao 001; Yangqiu Song (ACL (1), 2024)

Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit. - Duanyi Yao; Songze Li; Ye Xue; Jin Liu (ICLR, 2024)

HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning. - Zhuoning Guo; Duanyi Yao; Qiang Yang; Hao Liu 026 (KDD, 2024)

Leveraging Label Information for Stealthy Data Stealing in Vertical Federated Learning. - Duanyi Yao; Songze Li; Xueluan Gong; Sizai Hou; Gaoning Pan (CoRR, 2024)

DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders. - Sizai Hou; Songze Li; Duanyi Yao (CVPR, 2025)

URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning. - Duanyi Yao; Songze Li; Xueluan Gong; Sizai Hou; Gaoning Pan (NDSS, 2025)