Dec 8, 2020 · In this paper, we construct a spam classification framework that enables the classification of encrypted emails.

Jan 1, 2023 · Our goal is to develop solutions that can enable spam classification while preserving user data privacy through end-to-end encryption of email ...

Dec 8, 2020 · Privacy-Preserving Spam Filtering ... In this paper, we proposed a privacy-preserving spam classi- fication framework using functional encryption.

A spam classification framework that enables the classification of encrypted emails and is based on a neural network with a quadratic network part and a ...

A privacy preserving spam filtering system, where the server is able to train and evaluate a logistic regression based spam classifier on the combined email ...

A proficient user can directly learn a spam filtering classifier on her own private data and send it to the spam filtering provider or apply it herself, ...

Spam classification over encrypted emails enables the classifier to classify spam email without accessing the email, hence protects the privacy of email content ...

Privacy-preserving spam filtering using homomorphic and functional encryption ... Ryffel, Partially encrypted deep learning using functional encryption ...

In this paper, we use an FHE scheme to construct a privacy-preserving spam filtering framework because an NB classifier requires addition and multiplication.

Jul 9, 2020 · The privacy condition in this scenario requires that the third party should be able to perform the computation of the required specific function ...