Privacy-preserving computation in the post-quantum era. [PDF]
Yu Y, Xie X.
europepmc +1 more source
Privacy-Oriented Technique for COVID-19 Contact Tracing (PROTECT) Using Homomorphic Encryption: Design and Development Study. [PDF]
An Y +5 more
europepmc +1 more source
A systematic review of homomorphic encryption and its contributions in healthcare industry. [PDF]
Munjal K, Bhatia R.
europepmc +1 more source
TFHE-based floating-point neural network training
LAUREA MAGISTRALENegli ultimi anni, l'utilizzo di modelli di Machine Learning (ML) si è espanso sia nella comunità di ricerca, ma anche nella nostra vita quotidiana. Nonostante i loro vantaggi, preoccupazioni riguardo la privacy crescono sempre di più,
Nicoletti, Emanuele
core
Differential Fault Attacks on TFHE-friendly cipher $\textsf{FRAST}$
Differential Fault Attacks (DFAs) have recently emerged as a significant threat against stream ciphers specifically designed for Hybrid Homomorphic Encryption (HHE).
Deng Tang, Weizhe Wang
core +1 more source
Towards Secure Big Data Analysis via Fully Homomorphic Encryption Algorithms. [PDF]
Hamza R +6 more
europepmc +1 more source
bioETH-PRS: confidential polygenic risk scoring with smart contracts on an FHE-enabled blockchain. [PDF]
Antonios Provatas K +2 more
europepmc +1 more source
Training TFHE-Based Neural Networks with Approximated Floating-Point Arithmetic
Training neural networks under Torus Fully Homomorphic Encryption (TFHE) is severely constrained by the native restriction of the scheme to boolean and integer arithmetic, forcing prior work to rely on quantized integer pipelines limited to shallow MLPs.
Emanuele Nicoletti +4 more
core +1 more source
ToMAS: Torus-based secure multi-factor biometric authentication system. [PDF]
Hong MY, Lee KH, Jung JH, Yoon JW.
europepmc +1 more source
Efficient Non-Interactive Discrete ReLU over CKKS Using Interpolation Look-Up Table. [PDF]
Chen Z, Song X, Chen L.
europepmc +1 more source

