Homomorphic encryption (HE) enables the secure offloading of computations to the cloud by
providing computation on encrypted data (ciphertexts). HE is based on noisy encryption …

The advent of transformers has brought about significant advancements in traditional
machine learning tasks. However, their pervasive deployment has raised concerns about …

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 …

Fully Homomorphic Encryption (FHE) is a key technology enabling privacy-preserving
computing. However, the fundamental challenge of FHE is its inefficiency, due primarily to …

Homomorphic Encryption (HE) is one of the most promising post-quantum cryptographic
schemes that enable privacy-preserving computation on servers. However, noise …

Currently deployed public-key cryptosystems will be vulnerable to attacks by full-scale
quantum computers. Consequently," quantum resistant" cryptosystems are in high demand …

Fully homomorphic encryption (FHE) is an emerging cryptographic technology that
guarantees the privacy of sensitive user data by enabling direct computations on encrypted …

With the growing number of Location-Based Social Networks, privacy-preserving point-of-
interest (POI) recommendation has become a critical challenge when helping users discover …

With the increased need for data confidentiality in various applications of our daily life,
homomorphic encryption (HE) has emerged as a promising cryptographic topic. HE enables …

Secure transformer inference has emerged as a prominent research topic following the
proliferation of ChatGPT. Existing solutions are typically interactive, involving substantial …