A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models. - Wenjie Fu 005; Huandong Wang; Chen Gao 001; Guanghua Liu; Yong Li 008; Tao Jiang 002 (CoRR, 2023)

Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration. - Wenjie Fu 005; Huandong Wang; Chen Gao 001; Guanghua Liu; Yong Li 008; Tao Jiang 002 (CoRR, 2023)

Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration. - Wenjie Fu 005; Huandong Wang; Chen Gao 001; Guanghua Liu; Yong Li 008; Tao Jiang 002 (NeurIPS, 2024)

Soft-Weighted CrossEntropy Loss for Continous Alzheimer's Disease Detection. - Xiaohui Zhang 006; Wenjie Fu 005; Mangui Liang (CoRR, 2024)

Multimodal Emotion Recognition from Raw Audio with Sinc-convolution. - Xiaohui Zhang 006; Wenjie Fu 005; Mangui Liang (CoRR, 2024)

Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning. - Wenjie Fu 005; Huandong Wang; Chen Gao 001; Guanghua Liu; Yong Li 008; Tao Jiang 002 (ACM Trans. Inf. Syst., 2024)

MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector. - Wenjie Fu 005; Huandong Wang; Chen Gao 001; Guanghua Liu; Yong Li 008; Tao Jiang 002 (AAAI, 2025)

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy. - Huandong Wang; Wenjie Fu 005; Yingzhou Tang; Zhilong Chen; Yuxi Huang 007; Jinghua Piao; Chen Gao 001; Fengli Xu; Tao Jiang 002; Yong Li 008 (CoRR, 2025)