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 …

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 …

Privacy Preserving Techniques for Deep Learning in Multi-Party System

HK Ko - The Journal of the Convergence on Culture …, 2023 - koreascience.kr
Deep Learning is a useful method for classifying and recognizing complex data such as
images and text, and the accuracy of the deep learning method is the basis for making …

Cryptographic Primitives in Privacy-Preserving Machine Learning: A Survey

H Qin, D He, Q Feng, MK Khan, M Luo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Advances in machine learning have enabled a broad range of complex applications, such
as image recognition, recommendation system and machine translation. Data plays an …

Methods and approaches for privacy-preserving machine learning

N Lisin, S Zapechnikov - … Technologies in Robotics and Intelligent Systems …, 2020 - Springer
One of the main problems of machine learning is the need for a large amount of memory and
a long learning time. To solve this problem, many companies prefer to store their data and …

[PDF][PDF] A Survey of Privacy Preservation for Deep Learning Applications.

L Zhang, L Nie, L Yu - Journal of Information Hiding & Privacy …, 2022 - cdn.techscience.cn
Deep learning is widely used in artificial intelligence fields such as computer vision, natural
language recognition, and intelligent robots. With the development of deep learning …

Opportunities for private and secure machine learning

CW Clifton - Proceedings of the 1st ACM workshop on Workshop on …, 2008 - dl.acm.org
While the interplay of Artificial Intelligence and Security covers a wide variety of topics, the
2008 AISec program largely focuses on use of artificial intelligence techniques to aid with …

Ppml'19: privacy preserving machine learning

B Balle, A Gascón, O Ohrimenko, M Raykova… - Proceedings of the …, 2019 - dl.acm.org
The area of privacy preserving machine learning has been of growing importance in
practice, which has lead to an increased interest in this topic in both academia and industry …

Privacy-preserving machine learning as a service

E Hesamifard, H Takabi, M Ghasemi… - Proceedings on Privacy …, 2018 - petsymposium.org
Machine learning algorithms based on deep Neural Networks (NN) have achieved
remarkable results and are being extensively used in different domains. On the other hand …

Efficient secure building blocks with application to privacy preserving machine learning algorithms

A Kjamilji, E Savaş, A Levi - IEEE Access, 2021 - ieeexplore.ieee.org
Nowadays different entities (such as hospitals, cyber security companies, banks, etc.) collect
data of the same nature but often with different statistical properties. It has been shown that if …