Area Under Curve |
(AUC) |
Autonomous Protocol |
(AutoPro) |
Amazon Web Services |
(AWS) |
Brakerski/Fan-Vercauteren |
(BFV) |
Brakerski-Gentry-Vaikuntanathan |
(BGV) Scheme |
Canadian Institute For Advanced Research |
(CIFAR) |
Convolutional Neural Network |
(CNN) |
Central Processing Unit |
(CPU) |
Deep CNN |
(DCNN) |
Federated Analytics for Multiparty Homomorphic Encryption |
(FAMHE) |
Genetic Algorithm |
(GA) |
General Data Protection Regulation |
(GDPR) |
Gradient Boosting Trees |
(gbtree) |
Gentry, Sahai and Waters |
(GSW) |
Health Insurance Portability and Accountability Act |
(HIPAA) |
Human Against Machine |
(HAM) dataset |
Homomorphic Encryption Library |
(HELib) |
Institute of Electrical and Electronics Engineers |
(IEEE) |
Internet of Things |
(IoT) |
Library for Support Vector Machines |
(LibSVM) |
Massachusetts institute of technology and Beth Israel hospital |
(MIT-BIH) |
Modified National Institute of Standards and Technology |
(MNIST) |
Multilayer Perceptron |
(MLP) |
Multi-Key Homomorphic Encryption |
(MKHE) |
Privacy Preserving Machine Learning |
(PPML) |
Rectified Linear Unit |
(ReLU) |
Residual Network |
(ResNet) |
Residue Number System (RNS), as RNS-variant Cheon-Kim-Kim-Song |
(RNS-CKKS) |
Receiver Operating Characteristic |
(ROC) |
Softargmax/normalized exponential function |
(Softmax) |
Support Vector Machines |
(SVM) |
Threshold |
(TH)-intersection |
Top gene position as fixed parameter q |
(Top-q) |
Support Vector Classification |
(SVC) |
Fast Fully Homomorphic Encryption over the Torus |
(TFHE) |
University of California, Irvine |
(UCI) |
Veterans Administration |
(VA) |
eXtreme Gradient Boosting |
(XGBoost) |