Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration W Fu, H Wang, C Gao, G Liu, Y Li, T Jiang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 42* | 2024 |
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models W Fu, H Wang, C Gao, G Liu, Y Li, T Jiang arXiv preprint arXiv:2308.12143, 2022 | 7* | 2022 |
Privacy-preserving individual-level covid-19 infection prediction via federated graph learning W Fu, H Wang, C Gao, G Liu, Y Li, T Jiang ACM Transactions on Information Systems 42 (3), 1-29, 2024 | 4 | 2024 |
Multimodal emotion recognition from raw audio with sinc-convolution X Zhang, W Fu, M Liang arXiv preprint arXiv:2402.11954, 2024 | 2 | 2024 |
A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy H Wang, W Fu, Y Tang, Z Chen, Y Huang, J Piao, C Gao, F Xu, T Jiang, ... arXiv preprint arXiv:2501.09431, 2025 | 1 | 2025 |
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector W Fu, H Wang, C Gao, G Liu, Y Li, T Jiang Proceedings of the AAAI Conference on Artificial Intelligence (Oral), 2024 | 1 | 2024 |
Soft-Weighted CrossEntropy Loss for Continous Alzheimer's Disease Detection X Zhang, W Fu, M Liang arXiv preprint arXiv:2402.11931, 2024 | | 2024 |