3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CR2026
Pattern-level Differential Privacy for High-utility Complex Event Processing
He Gu, Thomas Plagemann, Vera Goebel +2
Current privacy-preserving mechanisms (PPMs) in Complex Event Processing (CEP) systems are unnecessarily restrictive, reducing the utility of data received by data consumers. This…
cs.CR2023★ 3 cited
No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems
Mikhail Fomichev, Manisha Luthra, Maik Benndorf +1
Stream processing systems (SPSs) have been designed to process data streams in real-time, allowing organizations to analyze and act upon data on-the-fly, as it is generated. Howeve…
cs.DB2023
Differential Privacy for Protecting Private Patterns in Data Streams
He Gu, Thomas Plagemann, Maik Benndorf +2
Complex event processing (CEP) is a powerful and increasingly more important tool to analyse data streams for Internet of Things (IoT) applications. These data streams often contai…