1 citations · 1 across the 5 of their papers we have counts for
5 papers
VPAS: Publicly Verifiable and Privacy-Preserving Aggregate Statistics on Distributed Datasets
Mohammed Alghazwi, Dewi Davies-Batista, Dimka Karastoyanova +1
Aggregate statistics play an important role in extracting meaningful insights from distributed data while preserving privacy. A growing number of application domains, such as healt…
Trusted Provenance of Automated, Collaborative and Adaptive Data Processing Pipelines
Ludwig Stage, Dimka Karastoyanova
To benefit from the abundance of data and the insights it brings data processing pipelines are being used in many areas of research and development in both industry and academia. O…
Enhancing Workflow Security in Multi-Cloud Environments through Monitoring and Adaptation upon Cloud Service and Network Security Violations
Nafiseh Soveizi, Dimka Karastoyanova
Cloud computing has emerged as a crucial solution for handling data- and compute-intensive workflows, offering scalability to address dynamic demands. However, ensuring the secure…
Deep supervised hashing for fast retrieval of radio image cubes
Steven Ndung'u, Trienko Grobler, Stefan J. Wijnholds +2
The shear number of sources that will be detected by next-generation radio surveys will be astronomical, which will result in serendipitous discoveries. Data-dependent deep hashing…
Advances on the classification of radio image cubes
Steven Ndung'u, Trienko Grobler, Stefan J. Wijnholds +2
Modern radio telescopes will daily generate data sets on the scale of exabytes for systems like the Square Kilometre Array (SKA). Massive data sets are a source of unknown and rare…