Machine learning and statistical techniques are powerful tools for analyzing large amounts
of medical and genomic data. On the other hand, ethical concerns and privacy regulations …

Classical machine learning modeling demands considerable computing power for internal
calculations and training with big data in a reasonable amount of time. In recent years …

Data privacy concerns are increasing significantly in the context of the Internet of Things,
cloud services, edge computing, artificial intelligence applications, and other applications …

With the rapid increase in cloud computing, concerns surrounding data privacy, security, and
confidentiality also have been increased significantly. Not only cloud providers are …

Private Set Intersection (PSI) allows two parties, the sender and the receiver, to compute the
intersection of their private sets without revealing extra information to each other. We are …

While deep learning is a valuable tool for solving many tough problems in computer vision,
the success of deep learning models is typically determined by:(i) availability of sufficient …

Decision tree classification has become a prevailing technique for online diagnosis services.
By outsourcing computation intensive tasks to a cloud server, cloud-assisted online …

Naive Bayes (NB) is a simple but highly practical classifier, with a wide range of applications
including spam filters, cancer diagnosis and face recognition, to name a few examples only …

It is unlikely that a hacker is able to compromise sensitive data that is stored in an encrypted
form. However, when data is to be processed, it has to be decrypted, becoming vulnerable to …

In typical applications of homomorphic encryption, the first step consists for Alice of
encrypting some plaintext m under Bob's public key pk pk and of sending the ciphertext c …