1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CR2025★ 1 cited
Blackbox Dataset Inference for LLM
Ruikai Zhou, Kang Yang, Xun Chen +3
Today, the training of large language models (LLMs) can involve personally identifiable information and copyrighted material, incurring dataset misuse. To mitigate the problem of d…
cs.LG2023
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness
Nan Cui, Xiuling Wang, Wendy Hui Wang +2
Graph Neural Networks (GNNs) have been widely used for various types of graph data processing and analytical tasks in different domains. Training GNNs over centralized graph data c…