Consideration of Data Security and Privacy Using Machine Learning Techniques

TC Phan, HC Tran - International Journal of Data Informatics and …, 2023 - ijdiic.com
As artificial intelligence becomes more and more prevalent, machine learning algorithms are
being used in a wider range of domains. Big data and processing power, which are typically …

[Retracted] Privacy Protection Technology Based on Machine Learning and Intelligent Data Recognition

Q Liu - Security and Communication Networks, 2022 - Wiley Online Library
The machine learning algorithm is gradually being applied to various fields and has become
the core technology to achieve artificial intelligence. The success of machine learning …

A Review on Privacy Preserving Secure Machine Learning

DK Bhaskar, B Minimol, VP Binu - 2023 9th International …, 2023 - ieeexplore.ieee.org
Privacy preserving and secure machine learning (PPSML), has turned into increasingly
significant in recent years due to the need to protect sensitive data while enabling data …

[图书][B] Privacy-Preserving Machine Learning

J Li, P Li, Z Liu, X Chen, T Li - 2022 - Springer
As an implementation methodology of the artificial intelligence, machine learning techniques
have reported impressive performance in a variety of application domains, such as risk …

When machine learning meets privacy: A survey and outlook

B Liu, M Ding, S Shaham, W Rahayu… - ACM Computing …, 2021 - dl.acm.org
The newly emerged machine learning (eg, deep learning) methods have become a strong
driving force to revolutionize a wide range of industries, such as smart healthcare, financial …

Privacy-preserving in the context of data mining and deep learning

A Altalhi, M AL-Saedi, H Alsuwat… - International journal of …, 2021 - kiss.kstudy.com
Machine-learning systems have proven their worth in various industries, including
healthcare and banking, by assisting in the extraction of valuable inferences. Information in …

Ensuring data privacy using machine learning for responsible data science

MD Jena, SS Singhar, BK Mohanta… - … Data Engineering and …, 2021 - Springer
With the advancement use of computers extensively the use of data has also grown to big
data level. Nowadays data is collected without any specific purpose, every activity of a …

Privacy-preserving deep learning

R Shokri, V Shmatikov - Proceedings of the 22nd ACM SIGSAC …, 2015 - dl.acm.org
Deep learning based on artificial neural networks is a very popular approach to modeling,
classifying, and recognizing complex data such as images, speech, and text. The …

Data Privacy in the Digital Era: Machine Learning Solutions for Confidentiality

SS Dari, D Dhabliya, K Govindaraju… - E3S Web of …, 2024 - e3s-conferences.org
Data privacy has grown to be of utmost importance in today's digitally driven world.
Protecting sensitive information has never been more important due to the explosion of data …

Privacy-preserving machine learning: Threats and solutions

M Al-Rubaie, JM Chang - IEEE Security & Privacy, 2019 - ieeexplore.ieee.org
For privacy concerns to be addressed adequately in today's machine-learning (ML) systems,
the knowledge gap between the ML and privacy communities must be bridged. This article …