activity
20182020
most citedPrivacy Preserving Face Recognition Utilizing Differential Privacy

159 citations · 257 across the 2 of their papers we have counts for

collaborators

7 papers

cs.CR2020

PPaaS: Privacy Preservation as a Service

Pathum Chamikara Mahawaga Arachchige, Peter Bertok, Ibrahim Khalil +2

Personally identifiable information (PII) can find its way into cyberspace through various channels, and many potential sources can leak such information. Data sharing (e.g. cross-…

cs.CR2020159 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

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.LG2019

Local Differential Privacy for Deep Learning

M. A. P. Chamikara, P. Bertok, I. Khalil +3

The internet of things (IoT) is transforming major industries including but not limited to healthcare, agriculture, finance, energy, and transportation. IoT platforms are continual…

cs.CR2019

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.DB201998 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…