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The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs
Fully Homomorphic Encryption Deep Learning Encrypted CNN
2018/11/2
Fully homomorphic encryption, with its widely-known feature of computing on encrypted data, empowers a wide range of privacy-concerned cloud applications including deep learning as a service. This com...
Implementing Joux-Vitse's Crossbred Algorithm for Solving MQ Systems over GF(2) on GPUs
Post-quantum cryptography multivariate quadratic systems parallel implementation
2017/12/11
The hardness of solving multivariate quadratic (MQ) systems is the underlying problem for multivariate-based schemes in the field of post-quantum cryptography. The concrete, practical hardness of this...
NTRU Modular Lattice Signature Scheme on CUDA GPUs
NTRU digital signatures lattice techniques
2016/5/18
In this work we show how to use Graphics Processing Units (GPUs) with Compute Unified Device Architecture (CUDA) to accelerate a lattice based signature scheme, namely, the NTRU modular lattice signat...
In this work we introduce a large polynomial arithmetic library optimized for Nvidia GPUs to support fully homomorphic encryption schemes. To realize the large polynomial arithmetic library we convert...
Accelerating SWHE based PIRs using GPUs
Private information retrieval homomorphic encryption NTRU
2015/12/30
In this work we focus on tailoring and optimizing the computational
Private Information Retrieval (cPIR) scheme proposed in
WAHC 2014 for efficient execution on graphics processing units (GPUs).
Ex...
Investigating SRAM PUFs in large CPUs and GPUs
Physically unclonable functions SRAM PUFs randomness
2015/12/24
Physically unclonable functions (PUFs) provide data
that can be used for cryptographic purposes: on the one hand randomness
for the initialization of random-number generators; on the
other hand ind...