Local differential privacy is a technique for concealing a user's information from collectors by
randomizing the information within the user's own device before sending it to unreliable …

With the development of Internet of medical things (IOMT), a lot of medical data are stored
and released for both scientific research and practical applications. Accurate medical data is …

In order to study the application of differential privacy data release for the data platform of
precise poverty alleviation (PPA), in this study, the data was protected by using differential …

Deep learning models bear the risks of privacy leakage. Attackers can obtain sensitive
information contained in training data with some techniques. However, existing differentially …

ABSTRACT A fruitful direction for future data mining research will be the development of
technique that incorporates privacy concerns. Specifically, we address the following …

Trying to solve the risk of data privacy disclosure in classification process, a Random Forest
algorithm under differential privacy named DPRF-gini is proposed in the paper. In the …

Big healthcare data security and privacy are a big concern increasing year-by-year.
Heterogeneous data called big data, plays overwhelming role in medical industry. More than …

Protecting data privacy concerns the most significant challenge of the present era. This
paper is an attempt to demonstrate how machine learning can be used by an attacker to …

Data is the key to information mining that unveils hidden knowledge. The ability to revealed
knowledge relies on the extractable features of a dataset and likewise the depth of the …

Classification of the privacy preserved medical data is the domain of the researchers as it
stirs the importance behind hiding the sensitive data from the third-party authenticator …