A novel secure vector product for protecting the privacy of data in vertically partitioned dataset
The contemporary advancements in the field of data collecting, storage and networking have
resulted in data being saved and kept at many locations. Data mining methods allow hidden …
resulted in data being saved and kept at many locations. Data mining methods allow hidden …
Federated Learning for Protecting Medical Data Privacy
AR Punreddy - 2023 - scholarworks.sjsu.edu
Deep learning is one of the most advanced machine learning techniques, and its
prominence has increased in recent years. Language processing, predictions in medical …
prominence has increased in recent years. Language processing, predictions in medical …
Improved Privacy Conservation Applicability for the Disturbed Data in Multi Partitioned Data Collection Environment
The perturbation technique was widely considered for the protection of the privacy for
different datasets in data mining. Multi-partitioned datasets generally consist of together …
different datasets in data mining. Multi-partitioned datasets generally consist of together …
Best feature selection for horizontally distributed private biomedical data based on genetic algorithms
B Tarik, E Zakaria - Research Anthology on Multi-Industry Uses of …, 2021 - igi-global.com
Due to the growing success of machine learning in the healthcare domain, medical
institutions are striving to share their patients' data in the intention to build more accurate …
institutions are striving to share their patients' data in the intention to build more accurate …
[PDF][PDF] Privacy preservation in the cloud: current solutions and open issues
SF Sabbeh - International Journal of Computer Trends and …, 2017 - researchgate.net
Ssabbeh@ Kau. edu. sa abstract—Preserving data privacy is among the key challenges that
still hamper answering business data integration needs in many sectors, including …
still hamper answering business data integration needs in many sectors, including …
[DOC][DOC] Enhanced Applicability of Privacy Preservation for perturbed Data in Multi-Partitioned Data set
VS Prakash, A Shanmugam - International Journal of Soft …, 2014 - researchgate.net
The perturbation technique has been widely considered for privacy preserving in data
mining for different datasets. Generally, Multi-partitioned datasets comprises of both vertical …
mining for different datasets. Generally, Multi-partitioned datasets comprises of both vertical …
[CITATION][C] Enhanced Privacy With Disrupted Data By Choosing Features
VS Prakash - Turkish Journal of Computer and Mathematics …, 2021