Fast Homomorphic Evaluation of Deep Discretized Neural Networks

No abstract is available for this paper.

• Publication year

  2018

• Venue

  IACR Cryptology ePrint Archive

• Publication date

  2018-08-19

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/978-3-319-96878-0_17
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Faster Bootstrapping With Multiple Addends

  2018cited by this paper
• Faster Packed Homomorphic Operations and Efficient Circuit Bootstrapping for TFHE

  2017cited by this paper
• Privacy-Preserving Classification on Deep Neural Network

  2017cited by this paper
• SecureML: A System for Scalable Privacy-Preserving Machine Learning

  2017cited by this paper
• PICS: Private Image Classification with SVM

  2017cited by this paper
• Optimization of Bootstrapping in Circuits

  2016cited by this paper
• Wide Residual Networks

  2016cited by this paper
• CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy

  2016cited by this paper
• Faster Fully Homomorphic Encryption: Bootstrapping in Less Than 0.1 Seconds

  2016influential reference
• Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning

  2016cited by this paper
• Fully Secure Functional Encryption for Inner Products, from Standard Assumptions

  2016cited by this paper
• Binarized Neural Networks

  2016cited by this paper
• BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

  2016cited by this paper
• Simple Functional Encryption Schemes for Inner Products

  2015cited by this paper
• Deep Residual Learning for Image Recognition

  2015cited by this paper
• Privacy Preserving Data Mining

  2015cited by this paper
• Machine Learning Classification over Encrypted Data

  2015cited by this paper
• On the concrete hardness of Learning with Errors

  2015cited by this paper
• Minimizing the Number of Bootstrappings in Fully Homomorphic Encryption

  2015cited by this paper
• FHEW: Bootstrapping Homomorphic Encryption in Less Than a Second

  2015cited by this paper
• (Leveled) Fully Homomorphic Encryption without Bootstrapping

  2014cited by this paper
• Algorithms in HElib

  2014cited by this paper
• Faster Bootstrapping with Polynomial Error

  2014cited by this paper
• Practical Bootstrapping in Quasilinear Time

  2013cited by this paper
• On the Minimal Number of Bootstrappings in Homomorphic Circuits

  2013cited by this paper
• Homomorphic Encryption from Learning with Errors: Conceptually-Simpler, Asymptotically-Faster, Attribute-Based

  2013cited by this paper
• Multi-column deep neural network for traffic sign classification

  2012cited by this paper
• Multi-column deep neural networks for image classification

  2012cited by this paper
• Homomorphic Evaluation of the AES Circuit

  2012cited by this paper
• Fully Homomorphic Encryption from Ring-LWE and Security for Key Dependent Messages

  2011cited by this paper
• Efficient Fully Homomorphic Encryption from (Standard) LWE

  2011cited by this paper
• Fully Homomorphic Encryption with Relatively Small Key and Ciphertext Sizes

  2010cited by this paper
• Fully Homomorphic Encryption over the Integers

  2010cited by this paper
• On Ideal Lattices and Learning with Errors over Rings

  2010cited by this paper
• Faster Fully Homomorphic Encryption

  2010cited by this paper
• A fully homomorphic encryption scheme

  2009cited by this paper
• Lossy trapdoor functions and their applications

  2008cited by this paper
• Concurrently Secure Identification Schemes Based on the Worst-Case Hardness of Lattice Problems

  2008cited by this paper
• Differential Privacy

  2006cited by this paper
• The mnist database of handwritten digits

  2005cited by this paper
• On lattices, learning with errors, random linear codes, and cryptography

  2005cited by this paper
• Gradient-based learning applied to document recognition

  1998influential reference
• Approximation capabilities of multilayer feedforward networks

  1991cited by this paper
• Distributed representations, simple recurrent networks, and grammatical structure

  1991cited by this paper
• A Simple Weight Decay Can Improve Generalization

  1991cited by this paper
• Approximation by superpositions of a sigmoidal function

  1989cited by this paper

• YATA: Yet Another TFHE Accelerator with Key Compression and Radix-8 NTT

  2026cites this paper
• Don't be mean: Reducing Approximation Noise in TFHE through Mean Compensation

  2026cites this paper
• Enabling Secure Keyword-Associated Spatio-Temporal Range Query in Mobile Cloud

  2026cites this paper
• SecDV: A Lightweight Secure Deep Neural Network Inference Service With Dynamic Verification

  2026cites this paper
• Peregrine: Accelerating TFHE Bootstrapping on GPUs via Multi-Level External Product Co-Design

  2026cites this paper
• Improved FHE Bootstrapping and Its Applications in Discretized Neural Networks

  2025influential citation
• Quantum Secure Privacy-Preserving Speaker Verification using Newton-Raphson Method

  2025cites this paper
• Full domain functional bootstrapping using the prime cyclotomic ring

  2025cites this paper
• Batch Inference on Deep Convolutional Neural Networks With Fully Homomorphic Encryption Using Channel-By-Channel Convolutions

  2025cites this paper
• LEAF: A Low-Latency Evaluation Architecture for Feedforward Block in Privacy-Preserving Transformer Inference

  2025influential citation
• Accelerating TFHE with Sorted Bootstrapping Techniques

  2025cites this paper
• GuardianMPC: Backdoor-Resilient Neural Network Computation

  2025cites this paper
• ANT-ACE: An FHE Compiler Framework for Automating Neural Network Inference

  2025cites this paper
• VeloFHE: GPU Acceleration for FHEW and TFHE Bootstrapping

  2025cites this paper
• Secured and Privacy-Preserving GPU-Based Machine Learning Inference in Trusted Execution Environment: A Comprehensive Survey

  2025cites this paper
• A Scalable Architecture for Efficient Multi-bit Fully Homomorphic Encryption

  2025cites this paper
• Designing a General-Purpose 8-bit (T)FHE Processor Abstraction

  2025cites this paper
• Activate Me!: Designing Efficient Activation Functions for Privacy-Preserving Machine Learning with Fully Homomorphic Encryption

  2025cites this paper
• FHEMaLe: Framework for Homomorphic Encrypted Machine Learning

  2025influential citation
• Evaluation of Privacy-Preserving Support Vector Machine (SVM) Learning Using Homomorphic Encryption

  2025cites this paper
• Silenzio: Secure Non-Interactive Outsourced MLP Training

  2025cites this paper
• Affinity-based Optimizations for TFHE on Processing-in-DRAM

  2025cites this paper
• Accelerating NTRU-based Bootstrapping with Block Key Distributions

  2025influential citation
• Evaluation of Privacy-aware Support Vector Machine (SVM) Learning using Homomorphic Encryption

  2025cites this paper
• A Faster Privacy-Preserving Medical Image Diagnosis Scheme with Machine Learning

  2025cites this paper
• Large-Scale Recurrent Neural Networks with Fully Homomorphic Encryption for Privacy-Enhanced Speaker Identification

  2025cites this paper
• Revisiting Multi-Key Blind Rotation: Optimized NTRU-based Bootstrapping for MKFHE

  2025cites this paper
• HEngine: A High Performance Optimization Framework on a GPU for Homomorphic Encryption

  2025cites this paper
• Achieving Efficient Secure Multi-Party Deduplicated Sorting

  2025cites this paper
• FastFHE: Packing-Scalable and Depthwise-Separable CNN Inference Over FHE

  2025cites this paper
• PETA: A Privacy-Enhanced Framework for Secure and Auditable Tax Analysis

  2025cites this paper
• S3-infer: Sensitivity-aware and sparsity-exploiting protocols for private inference

  2025cites this paper
• UNIT: A Highly Unified and Memory-Efficient FPGA-Based Accelerator for Torus FHE

  2025cites this paper
• Practical TFHE Ciphertext Sanitization for Oblivious Circuit Evaluation

  2025influential citation
• Hardware-Accelerated Encrypted Execution of General-Purpose Applications

  2025cites this paper
• Efficient Privacy-Preserving Convolutional Neural Networks with CKKS-RNS for Encrypted Image Classification

  2025cites this paper
• RBOOT: Accelerating Homomorphic Neural Network Inference by Fusing ReLU within Bootstrapping

  2025cites this paper
• HELM: Navigating Homomorphic Encryption Through Gates and Lookup Tables

  2025cites this paper
• VSecNN: Verifiable and Privacy-Preserving Neural Network Inference in Cloud Service

  2025cites this paper
• Trade-Off Evaluation Between Privacy and Data Utility Through the Application of Fully Homomorphic Encryption During ML Models Training for Classifying Misogyny Content

  2025cites this paper
• Head Start: Digit Extraction in TFHE from MSB to LSB

  2025cites this paper
• HE-LRM: Efficient Private Embedding Lookups for Neural Inference Using Fully Homomorphic Encryption

  2025cites this paper
• Approximate Methods for the Computation of Step Functions in Homomorphic Encryption

  2024cites this paper
• PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption

  2024cites this paper
• A comprehensive survey and taxonomy on privacy-preserving deep learning

  2024cites this paper
• Homomorphic sign evaluation using functional bootstrapping with a RNS representation of integers

  2024cites this paper
• Privacy-Preserving Data Processing Method for IoV Based on Homomorphic Conjugacy Search Problem

  2024cites this paper
• Privacy Preserving Inference for Deep Neural Networks: Optimizing Homomorphic Encryption for Efficient and Secure Classification

  2024cites this paper
• ALT: Area-Efficient and Low-Latency FPGA Design for Torus Fully Homomorphic Encryption

  2024influential citation
• GPU Accelerated Full Homomorphic Encryption Cryptosystem, Library, and Applications for IoT Systems

  2024cites this paper
• CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference

  2024cites this paper
• Chocobo: Creating Homomorphic Circuit Operating with Functional Bootstrapping in basis B

  2024cites this paper
• An Efficient FHE-Enabled Secure Cloud–Edge Computing Architecture for IoMT Data Protection With its Application to Pandemic Modeling

  2024cites this paper
• Hyena: Balancing Packing, Reuse, and Rotations for Encrypted Inference

  2024cites this paper
• Cryptographic Primitives in Privacy-Preserving Machine Learning: A Survey

  2024cites this paper
• RevoLUT : Rust Efficient Versatile Oblivious Look-Up-Tables

  2024cites this paper
• Efficient FHE-Based Privacy-Enhanced Neural Network for Trustworthy AI-as-a-Service

  2024influential citation
• GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption

  2024cites this paper
• PP-Stream: Toward High-Performance Privacy-Preserving Neural Network Inference via Distributed Stream Processing

  2024cites this paper
• Chameleon: An Efficient FHE Scheme Switching Acceleration on GPUs

  2024cites this paper
• Free-XOR Gate Bootstrapping

  2024cites this paper
• Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption

  2024cites this paper
• Efficient Homomorphically Encrypted Convolutional Neural Network Without Rotation

  2024cites this paper
• A Pervasive, Efficient and Private Future: Realizing Privacy-Preserving Machine Learning Through Hybrid Homomorphic Encryption

  2024cites this paper
• HEAP: A Fully Homomorphic Encryption Accelerator with Parallelized Bootstrapping

  2024cites this paper
• Proteus: A Fully Homomorphic Authenticated Transciphering Protocol

  2024cites this paper
• Privacy-preserving inference resistant to model extraction attacks

  2024cites this paper
• LFFR: Logistic Function For (multi-output) Regression

  2024cites this paper
• LFFR: Logistic Function For (single-output) Regression

  2024cites this paper
• Self-learning activation functions to increase accuracy of privacy-preserving Convolutional Neural Networks with homomorphic encryption

  2024cites this paper
• Faster NTRU-based Bootstrapping in less than 4 ms

  2024influential citation
• Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging

  2024cites this paper
• Homomorphic Sign Evaluation with a RNS Representation of Integers

  2024cites this paper
• Privacy-Preserving Logistic Regression Training on Large Datasets

  2024cites this paper
• Efficiency Optimization Techniques in Privacy-Preserving Federated Learning With Homomorphic Encryption: A Brief Survey

  2024cites this paper
• MOSFHET: Optimized Software for FHE over the Torus

  2024influential citation
• Overflow-Detectable Floating-Point Fully Homomorphic Encryption

  2024cites this paper
• FSSiBNN: FSS-based Secure Binarized Neural Network Inference with Free Bitwidth Conversion

  2024cites this paper
• FHE-MENNs: Opportunities and Pitfalls for Accelerating Fully Homomorphic Private Inference with Multi-Exit Neural Networks

  2024cites this paper
• From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks

  2024cites this paper
• A Simple Solution for Homomorphic Evaluation on Large Intervals

  2024cites this paper
• VeriTrain: Validating MLaaS Training Efforts via Anomaly Detection

  2024influential citation
• chiku: Efficient Probabilistic Polynomial Approximations Library

  2024cites this paper
• Enhancing Cryptography Using Regression And Feature Selection

  2024cites this paper
• Private and Secure Distributed Deep Learning: A Survey

  2024influential citation
• Using Hierarchical Approach to Speed-up RNS Base Extensions in Homomorphic Encryption Context

  2023cites this paper
• More Efficient Secure Matrix Multiplication for Unbalanced Recommender Systems

  2023cites this paper
• Privacy Preserving Discretized Spiking Neural Network with TFHE

  2023cites this paper
• TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture

  2023cites this paper
• CoFHE: Software and hardware Co-design for FHE-based machine learning as a service

  2023cites this paper
• Secure CNN Training and Inference based on Multi-key Fully Homomorphic Encryption

  2023cites this paper
• De Bello Homomorphico: Investigation of the extensibility of the OpenFHE library with basic mathematical functions by means of common approaches using the example of the CKKS cryptosystem

  2023cites this paper
• HELIOPOLIS: Verifiable Computation over Homomorphically Encrypted Data from Interactive Oracle Proofs is Practical

  2023cites this paper
• Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing

  2023cites this paper
• Efficient and Privacy-Preserving Spatial Keyword Similarity Query Over Encrypted Data

  2023cites this paper
• Data Analytics over Encrypted Data from Fully Homomorphic Encryption

  2023cites this paper
• An Efficient CKKS-FHEW/TFHE Hybrid Encrypted Inference Framework

  2023cites this paper
• HE-MAN – Homomorphically Encrypted MAchine learning with oNnx models

  2023cites this paper
• LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference

  2023influential citation
• Homomorphic Comparison Method Based on Dynamically Polynomial Composite Approximating Sign Function

  2023cites this paper