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20182020
most citedPrivacy Preserving Face Recognition Utilizing Differential Privacy

159 citations · 547 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2020★ 159 cited

Privacy Preserving Face Recognition Utilizing Differential Privacy

M. A. P. Chamikara, P. Bertok, I. Khalil +2

Facial recognition technologies are implemented in many areas, including but not limited to, citizen surveillance, crime control, activity monitoring, and facial expression evaluat…

cs.DB2020★ 147 cited

Privacy Preserving Distributed Machine Learning with Federated Learning

M. A. P. Chamikara, P. Bertok, I. Khalil +2

Edge computing and distributed machine learning have advanced to a level that can revolutionize a particular organization. Distributed devices such as the Internet of Things (IoT)…

cs.CR2019★ 67 cited

An Efficient and Scalable Privacy Preserving Algorithm for Big Data and Data Streams

M. A. P. Chamikara, P. Bertok, D. Liu +2

A vast amount of valuable data is produced and is becoming available for analysis as a result of advancements in smart cyber-physical systems. The data comes from various sources,…

cs.DB2019★ 98 cited

Efficient privacy preservation of big data for accurate data mining

M. A. P. Chamikara, P. Bertok, D. Liu +2

Computing technologies pervade physical spaces and human lives, and produce a vast amount of data that is available for analysis. However, there is a growing concern that potential…

cs.DB2018★ 76 cited

Efficient Data Perturbation for Privacy Preserving and Accurate Data Stream Mining

M. A. P. Chamikara, P. Bertok, D. Liu +2

The widespread use of the Internet of Things (IoT) has raised many concerns, including the protection of private information. Existing privacy preservation methods cannot provide a…