As a classical type of machine learning algorithms, tree models have been widely employed in various fields, such as financial analysis and health diagnostics, offering high-accuracy and low-latency prediction services to users. However, tree evaluation also raises significant privacy concerns, particularly with respec...
Jia-Qi Zhao, Hui Zhu, Jun-Peng Zhang et al.· IEEE Transactions on Informa...· 0 citations
This work presents Porting Benchmark, a curated dataset of 1,234 security patch backporting cases spanning cross-version, cross-branch, and cross-repository scenarios, paired with a common evaluation framework and identifies four root-cause categories (missing target API awareness, cross-version semantic mismatch, non-...
Jin-Cheng Yang, Yu-Long Fu, Cheng-Wei Liu et al.· Proceedings of the 41st IEEE...· 1 citation
Deploying outsourced graph neural network (GNN) inference services in the cloud is gaining widespread application across various fields, such as fraud detection and social network analysis. Cloud servers utilize outsourced model to analyze the graph data of data owners, enabling data owners to enjoy high-quality GNN in...
Ruoli Zhao, Hui Zhu, Yan-Dong Zheng et al.· IEEE Transactions on Network...· 0 citations
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