3 papers
cs.LG2023
Membership inference attack with relative decision boundary distance
JiaCheng Xu, ChengXiang Tan
Membership inference attack is one of the most popular privacy attacks in machine learning, which aims to predict whether a given sample was contained in the target model's trainin…
cs.CL2023
OTIEA:Ontology-enhanced Triple Intrinsic-Correlation for Cross-lingual Entity Alignment
Zhishuo Zhang, Chengxiang Tan, Xueyan Zhao +2
Cross-lingual and cross-domain knowledge alignment without sufficient external resources is a fundamental and crucial task for fusing irregular data. As the element-wise fusion pro…
cs.CL2023
Type-enhanced Ensemble Triple Representation via Triple-aware Attention for Cross-lingual Entity Alignment
Zhishuo Zhang, Chengxiang Tan, Haihang Wang +2
Entity alignment(EA) is a crucial task for integrating cross-lingual and cross-domain knowledge graphs(KGs), which aims to discover entities referring to the same real-world object…