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ORCIDSIGKDD Explorations, Volume 26
Volume 26, Number 1, June 2024
- Hao Tian, Reza Zafarani:
Higher-Order Networks Representation and Learning: A Survey. 1-18 - William Shiao, Evangelos E. Papalexakis:
Synthetic data for learning-based knowledge discovery. 19-23 - Alex Alves Freitas:
The Case for Hybrid Multi-Objective Optimisation in High-Stakes Machine Learning Applications. 24-33 - Zhibo Chu, Zichong Wang, Wenbin Zhang
:
Fairness in Large Language Models: A Taxonomic Survey. 34-48 - Tristan Allard, Hira Asghar, Gildas Avoine, Christophe Bobineau, Pierre Cauchois, Elisa Fromont, Anna Monreale, Francesca Naretto, Roberto Pellungrini, Francesca Pratesi, Marie-Christine Rousset, Antonin Voyez:
Analyzing and explaining privacy risks on time series data: ongoing work and challenges. 49-58
Volume 26, Number 2, December 2024
- Caleb Geren, Amanda Board, Gaby G. Dagher, Tim Andersen, Jun Zhuang:
Blockchain for Large Language Model Security and Safety: A Holistic Survey. 1-20 - Baixiang Huang, Canyu Chen, Kai Shu:
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges. 21-43 - Dawei Li, Zhen Tan, Huan Liu:
Exploring Large Language Models for Feature Selection: A Data-centric Perspective. 44-53 - Min Kyoung Kang:
Causal inference under limited outcome observability: A case study with Pinterest Conversion Lift. 54-59 - Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Yue Xing, Jiliang Tang:
DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models. 60-75 - Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Lingjuan Lyu, Wenqi Fan, Hui Liu, Jiliang Tang:
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. 76-88 - Zichong Wang, Zhipeng Yin, Yuying Zhang, Liping Yang, Tingting Zhang, Niki Pissinou, Yu Cai, Shu Hu, Yun Li, Liang Zhao, Wenbin Zhang:
Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges. 89-98 - Zichong Wang, Zhipeng Yin, Yuying Zhang, Liping Yang, Tingting Zhang, Niki Pissinou, Yu Cai, Shu Hu, Yun Li, Liang Zhao, Wenbin Zhang:
FG-SMOTE: Towards Fair Node Classification with Graph Neural Network. 99-108 - 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. 109-118
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