| 1 | -- | 20 | Caleb Geren, Amanda Board, Gaby G. Dagher, Tim Andersen, Jun Zhuang. Blockchain for Large Language Model Security and Safety: A Holistic Survey |
| 21 | -- | 43 | Baixiang Huang, Canyu Chen, Kai Shu. Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges |
| 44 | -- | 53 | Dawei Li 0008, Zhen Tan 0001, Huan Liu 0001. Exploring Large Language Models for Feature Selection: A Data-centric Perspective |
| 54 | -- | 59 | Min-Kyoung Kang. Causal inference under limited outcome observability: A case study with Pinterest Conversion Lift |
| 60 | -- | 75 | Yingqian Cui, Jie Ren 0019, Han Xu 0002, Pengfei He, Hui Liu 0031, Lichao Sun 0001, Yue Xing 0002, Jiliang Tang. DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models |
| 76 | -- | 88 | Yingqian Cui, Jie Ren 0019, Yuping Lin, Han Xu 0002, Pengfei He, Yue Xing 0002, Lingjuan Lyu, Wenqi Fan, Hui Liu 0031, Jiliang Tang. FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models |
| 89 | -- | 98 | Zichong Wang, Zhipeng Yin, Yuying Zhang, Liping Yang 0002, Tingting Zhang, Niki Pissinou, Yu Cai 0002, Shu Hu 0001, Yun Li 0005, Liang Zhao 0002, Wenbin Zhang 0002. Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges |
| 99 | -- | 108 | Zichong Wang, Zhipeng Yin, Yuying Zhang, Liping Yang 0002, Tingting Zhang, Niki Pissinou, Yu Cai 0002, Shu Hu 0001, Yun Li 0005, Liang Zhao 0002, Wenbin Zhang 0002. FG-SMOTE: Towards Fair Node Classification with Graph Neural Network |
| 109 | -- | 118 | Hua Tang, Chong Zhang, Mingyu Jin, Qinkai Yu, Zhenting Wang, Xiaobo Jin, Yongfeng Zhang, Mengnan Du. Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities |