Research on an ensemble classification algorithm based on differential privacy
J Jia, W Qiu - IEEE Access, 2020 - ieeexplore.ieee.org
In the field of information security, privacy protection based on machine learning is currently
a hot topic. Combining differential privacy protection with AdaBoost, a machine learning …
a hot topic. Combining differential privacy protection with AdaBoost, a machine learning …
[HTML][HTML] Machine learning concepts for correlated Big Data privacy
With data becoming a salient asset worldwide, dependence amongst data kept on growing.
Hence the real-world datasets that one works upon in today's time are highly correlated …
Hence the real-world datasets that one works upon in today's time are highly correlated …
Keeping it Low-Key: Modern-Day Approaches to Privacy-Preserving Machine Learning
The last handful of years has seen immense evolution and adoption of Machine Learning
(ML) in multifarious online realms, from influencing our shopping lists to who we connect …
(ML) in multifarious online realms, from influencing our shopping lists to who we connect …
A comprehensive survey and taxonomy on privacy-preserving deep learning
Deep learning (DL) has been shown to be very effective for many application domains of
machine learning (ML), including image classification, voice recognition, natural language …
machine learning (ML), including image classification, voice recognition, natural language …
Emerging technologies in a modern competitive scenario: Understanding the panorama for security and privacy requirements
GL Jamil, AR da Silva - … of Research on Digital Transformation and …, 2021 - igi-global.com
Users' personal, highly sensitive data such as photos and voice recordings are kept
indefinitely by the companies that collect it. Users can neither delete nor restrict the …
indefinitely by the companies that collect it. Users can neither delete nor restrict the …
A differential approach and deep neural network based data privacy-preserving model in cloud environment
Data outsourcing has become indispensable to allow information sharing among multiple
parties. The users do not fully trust the cloud platform since it is operated by a third party …
parties. The users do not fully trust the cloud platform since it is operated by a third party …
The risk-utility tradeoff for data privacy models
Nowadays with growth of information technologies, organizations are constantly collecting
information about individuals. Public availability of these datasets can considerably benefit …
information about individuals. Public availability of these datasets can considerably benefit …
Local Differential Privacy for Artificial Intelligence of Medical Things
The collection of medical data and personal health data is taking place in diverse locations
due to the development of IoT technology. This has created possibilities for using medical …
due to the development of IoT technology. This has created possibilities for using medical …