December 2024, Volume 26, Issue 2
Editor in Chief
Associate Editors
ARTICLES
Blockchain for Large Language Model Security and Safety: A Holistic Survey [1]
Caleb Geren, Amanda Board, Gaby G. Dagher, Tim Andersen, and Jun Zhuang
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges [21]
Baixiang Huang, Canyu Chen, and Kai Shu
Exploring Large Language Models for Feature Selection: A Data-centric Perspective [44]
Dawei Li, Zhen Tan, and Huan Liu
Causal inference under limited outcome observability: A case study with Pinterest Conversion Lift [54]
Min Kyoung Kang
DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models [60]
Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Yue Xing, and Jiliang Tang
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models [76]
Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Lingjuan Lyu, Wenqi Fan, Hui Liu, and Jiliang Tang
Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges. [89]
Zichong Wang, Zhipeng Yin, Fang Liu, Zhen Liu, Jun Liu, Xinda Wang, Christine Lisetti, Shuigeng Zhou, and Wenbin Zhang
FG-SMOTE: Towards Fair Node Classification with Graph Neural Network. [99]
Zichong Wang, Zhipeng Yin, Shimei Pan, Yu Cai, Sukumar Ganapati, Niki Pissinou, Yun Li, Liang Zhao, and Wenbin Zhang
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities [109]
Hua Tang, Chong Zhang, Mingyu Jin, Qinkai Yu, Zhenting Wang, Xiaobo Jin, Yongfeng Zhang, and Mengnan Du
