Privacy has gained a growing interest nowadays due to the increasing and unmanageable
amount of produced confidential data. Concerns about the possibility of sharing data with …

Popular messaging applications now enable end-to-end-encryption (E2EE) by default, and
E2EE data storage is becoming common. These important advances for security and privacy …

We present an efficient and non-interactive method for Text Classification while preserving
the privacy of the content using Fully Homomorphic Encryption (FHE). Our solution (named …

The simultaneous growth of textual data and the advancements within Text Analytics
enables organisations to exploit this kind of unstructured data, and tap into previously …

Classification of personal text messages has many useful applications in surveillance, e-
commerce, and mental health care, to name a few. Giving applications access to personal …

We propose a privacy-preserving Naive Bayes classifier and apply it to the problem of
private text classification. In this setting, a party (Alice) holds a text message, while another …

Classification of personal text messages has many useful applications in surveillance, e-
commerce, and mental health care, to name a few. Giving applications access to personal …

The outbreak of terrorist events often causes tremendous damage to the country and society
and arouses high attention from the public and an overwhelming response on the …

The growing user population and open nature of social media have attracted a huge number
of programs which are automated, also known as bots, which is considered to be a double …

Over the last decade there has a been widespread usage of Machine Learning (ML)
classifiers in cases such accurate disease diagnosis at clinics, credit card fraud detection in …