Daiyong Quan — accepted AI-conference papers

2025

Accurate Hardware Trojan Detection for SGIN Device: A Prompt-Tuning and LangChain Approach

Duo Zhang, Ming Mao, Yunchuan Guo, Fenghua Li, Daiyong Quan

ICASSP 2025accepted

Space-Ground Integrated Networks (SGIN) devices are at risk of hardware Trojan attacks. Currently, existing detection schemes (e.g., deep learning) require a large amount of labeled samples. However, obtaining a high-quality labeled hardware Trojan dataset for SGIN devices is challenging due to the…

Cited by 0 Source ↗Scholar ↗

2025

Toward Forward-Secure End-to-End Data Sharing: An Attribute-Key-Free CP-ABE Scheme

Xinyi Shi, Yunchuan Guo, Wei Jin, Mingjie Yu, Daiyong Quan, Wenlong Kou +1

ICASSP 2025accepted

In end-to-end data sharing, data are directly distributed to data receivers and stored on their terminals, making it hard to ensure forward security because receivers whose permissions have been revoked may still access previously shared data. To address these challenges, we propose an attribute-key…

Cited by 0 Source ↗Scholar ↗