Results 21 to 30 of about 2,104 (177)
Cryptanalysis of TFHE-Friendly Cipher FRAST
FRAST is a TFHE-friendly stream cipher that was published at FSE 2025. The cipher is defined over Z16, and makes extensive use of negacyclic S-boxes over Z16 as they are less costly in TFHE.
Antoine Bak +5 more
doaj +3 more sources
VeloFHE: GPU Acceleration for FHEW and TFHE Bootstrapping
Bit-wise Fully Homomorphic Encryption schemes like FHEW and TFHE offer efficient functional bootstrapping, enabling concurrent function evaluation and noise reduction.
Shiyu Shen +8 more
doaj +2 more sources
Sharing the Mask: TFHE Bootstrapping on Packed Messages
Fully Homomorphic Encryption (FHE) schemes typically experience significant data expansion during encryption, leading to increased computational costs and memory demands during homomorphic evaluations compared to their plaintext counterparts.
Loris Bergerat +5 more
doaj +4 more sources
SMOOTHIE: (Multi-)Scalar Multiplication Optimizations On TFHE. [PDF]
The (Multi-)Scalar multiplication is a crucial operation during FHE-related AI applications, and its performance has a significant impact on the overall efficiency of these applications. In this paper we introduce SMOOTHIE: (Multi-)Scalar Multiplication Optimizations On TFHE, introducing new techniques to improve the performance of single- and multi ...
Pottier, Xander +3 more
core +4 more sources
An NVMe-Based Secure Computing Platform With FPGA-Based TFHE Accelerator
In this study, we introduce a new approach to secure computing by implementing a platform that utilizes a non-volatile memory express (NVMe)-based system with an FPGA-based Torus fully homomorphic encryption (TFHE) accelerator, solid state drive (SSD ...
Claude Gravel +2 more
exaly +3 more sources
Improved FHE Bootstrapping and Its Applications in Discretized Neural Networks
The inefficiency of bootstrapping is the primary bottleneck preventing fully homomorphic encryption (FHE) from practical applications. One of the main obstacles to improving the bootstrapping performance using hardware acceleration is the large storage ...
Kaixing Wang +4 more
doaj +2 more sources
Practical TFHE Ciphertext Sanitization for Oblivious Circuit Evaluation [PDF]
Homomorphic encryption (FHE) enables the computation of arbitrary circuits over encrypted data. A widespread application of HE is oblivious circuit evaluation, where a sender evaluates its private circuit over a receiver\u27s encrypted data, covering ...
Intak Hwang +3 more
core +4 more sources
OFHE: An Electro-Optical Accelerator for Discretized TFHE [PDF]
This paper presents \textit{OFHE}, an electro-optical accelerator designed to process Discretized TFHE (DTFHE) operations, which encrypt multi-bit messages and support homomorphic multiplications, lookup table operations and full-domain functional bootstrappings.
Mengxin Zheng +6 more
core +6 more sources
Further Improvements in AES Execution over TFHE [PDF]
Making the most of TFHE advanced capabilities such as programmable or circuit bootstrapping and their generalizations for manipulating data larger than the native plaintext domain of the scheme is a very active line of research. In this context, AES is a particularly interesting benchmark, as an example of a nontrivial algorithm which has eluded ...
Sonia Belaïd +5 more
openaire +2 more sources
An overview of torus fully homomorphic encryption [PDF]
The homomorphic encryption allows us to operate on encrypted data, making any action less vulnerable to hacking. The implementation of a fully homomorphic cryptosystem has long been impracticable. A breakthrough was achieved only in 2009 thanks to Gentry
Maria Ferrara +2 more
doaj +1 more source

