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 …

Encrypted control has been introduced to protect controller data by encryption at the stage of
computation and communication, by performing the computation directly on encrypted data …

The NTRU problem is a promising candidate to build efficient Fully Homomorphic Encryption
(FHE). However, all the existing proposals (eg LTV, YASHE) need so-called 'overstretched' …

Homomorphic encryption (HE) is often viewed as impractical, both in communication and
computation. Here we provide an additively homomorphic encryption scheme based on …

Until recently lattice reduction attacks on NTRU lattices were thought to behave similar as on
(ring-) LWE lattices with the same parameters. However several works (Albrecht-Bai-Ducas …

Computation on ciphertexts of all known fully homomorphic encryption (FHE) schemes
induces some noise, which, if too large, will destroy the plaintext. Therefore, the …

Blind rotation is one of the key techniques to construct fully homomorphic encryptions with
the best known bootstrapping algorithms running in less than one second. Currently, the two …

Decentralized image classification plays a key role in various scenarios due to its attractive
properties, including tolerating high network latency and less prone to single-point failures …

Lattice gadgets and the associated algorithms are the essential building blocks of lattice-
based cryptography. In the past decade, they have been applied to build versatile and …

NTRUEncrypt is one of the first lattice-based encryption schemes. Furthermore, the earliest
fully homomorphic encryption (FHE) schemes rely on the NTRU problem. Currently, NTRU is …