We present SimplePIR, the fastest single-server private information retrieval scheme known
to date. SimplePIR's security holds under the learning-with-errors assumption. To answer a …

Fully Homomorphic Encryption (FHE) is seeing increasing real-world deployment to protect
data in use by allowing computation over encrypted data. However, the same malleability …

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 …

We focus on the problem of constructing fully homomorphic encryption (FHE) schemes that
achieve some meaningful notion of adaptive chosen-ciphertext security beyond CCA1 …

Traditional AI methodologies necessitate centralized data collection, which becomes
impractical when facing problems with network communication, data privacy, or storage …

Fully Homomorphic Encryption (FHE) enables computation directly on encrypted data. This
property is desirable for outsourced computation of sensitive data as it relies solely on the …

We show that the smallness of message spaces can be used as a checksum allowing to
hedge against CCA1 attacks in additively homomorphic encryption schemes. We first show …

Abstract Fully Homomorphic Encryption (FHE) promises to secure our data on the untrusted
cloud, by allowing arbitrary computations on encrypted data. However, the malleability and …

Fully Homomorphic Encryption (FHE) enables arbitrary computations to be performed over
encrypted data, eliminating the need to decrypt the data and expose it to potential risk while …

Companies continuously monitor their (internal) networks for incoming cyber attacks and
use that 'cyber threat intelligence data'(CTI) to improve their security policies. This …