14 citations · 20 across the 9 of their papers we have counts for
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cs.CR2023
DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming
Shuya Feng, Meisam Mohammady, Han Wang +3
Streaming data, crucial for applications like crowdsourcing analytics, behavior studies, and real-time monitoring, faces significant privacy risks due to the large and diverse data…
cs.CR2023★ 1 cited
Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory
Xiaochen Li, Weiran Liu, Jian Lou +4
Top- frequent items detection is a fundamental task in data stream mining. Many promising solutions are proposed to improve memory efficiency while still maintaining high accura…
cs.CR2023★ 14 cited
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding
Yuke Hu, Wei Liang, Ruofan Wu +5
Knowledge Graph Embedding (KGE) is a fundamental technique that extracts expressive representation from knowledge graph (KG) to facilitate diverse downstream tasks. The emerging fe…