Duanyi Yao

According to our database, Duanyi Yao authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hidden Ads: Behavior Triggered Semantic Backdoors for Advertisement Injection in Vision Language Models.

Duanyi Yao, Changyue Li, Zhicong Huang, Cheng Hong, Songze Li

CoRR, March, 2026

2025

URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning.

Duanyi Yao, Songze Li, Xueluan Gong, Sizai Hou, Gaoning Pan

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders.

Sizai Hou, Songze Li, Duanyi Yao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Leveraging Label Information for Stealthy Data Stealing in Vertical Federated Learning.

Duanyi Yao, Songze Li, Xueluan Gong, Sizai Hou, Gaoning Pan

CoRR, 2024

HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning.

Zhuoning Guo, Duanyi Yao, Qiang Yang, Hao Liu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit.

Duanyi Yao, Songze Li, Ye Xue, Jin Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models.

Haoran Li, Dadi Guo, Donghao Li, Wei Fan, Qi Hu, Xin Liu, Chunkit Chan, Duanyi Yao, Yuan Yao, Yangqiu Song

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

P-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models.

Haoran Li, Dadi Guo, Donghao Li, Wei Fan, Qi Hu, Xin Liu, 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

Proceedings of the International Conference on Machine Learning, 2023