Cover Image

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ghazvinian, Parsa, Podschwadt, Robert, Panzade, Prajwal, Rafiei, Mohammad H., Takabi, Daniel
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption
by: Panzade, Prajwal, et al.
Published: (2024)

SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges
by: Panzade, Prajwal, et al.
Published: (2022)

MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption
by: Panzade, Prajwal, et al.
Published: (2024)

Efficient Homomorphically Encrypted Convolutional Neural Network Without Rotation
by: Akherati, Sajjad, et al.
Published: (2024)

SSCAE -- Semantic, Syntactic, and Context-aware natural language Adversarial Examples generator
by: Asl, Javad Rafiei, et al.
Published: (2024)

Hyena: Optimizing Homomorphically Encrypted Convolution for Private CNN Inference
by: Roh, Hyeri, et al.
Published: (2023)

HarmNet: A Framework for Adaptive Multi-Turn Jailbreak Attacks on Large Language Models
by: Narula, Sidhant, et al.
Published: (2025)

An End-to-End Homomorphically Encrypted Neural Network
by: Florencio, Marcos, et al.
Published: (2025)

NEXUS: Network Exploration for eXploiting Unsafe Sequences in Multi-Turn LLM Jailbreaks
by: Asl, Javad Rafiei, et al.
Published: (2025)

Cachemir: Fully Homomorphic Encrypted Inference of Generative Large Language Model with KV Cache
by: Yu, Ye, et al.
Published: (2026)

Encrypted Federated Search Using Homomorphic Encryption
by: Rathod, Om, et al.
Published: (2025)

Towards Zero Rotation and Beyond: Architecting Neural Networks for Fast Secure Inference with Homomorphic Encryption
by: Cai, Yifei, et al.
Published: (2026)

High-Resolution Convolutional Neural Networks on Homomorphically Encrypted Data via Sharding Ciphertexts
by: Maloney, Vivian, et al.
Published: (2023)

FHE-SQL: Fully Homomorphic Encrypted SQL Database
by: Tseng, Po-Yu, et al.
Published: (2025)

Efficient and Encrypted Inference using Binarized Neural Networks within In-Memory Computing Architectures
by: Rajendran, Gokulnath, et al.
Published: (2025)

NSHEDB: Noise-Sensitive Homomorphic Encrypted Database Query Engine
by: Jung, Boram, et al.
Published: (2026)

Privacy Preserving Anomaly Detection on Homomorphic Encrypted Data from IoT Sensors
by: Hangan, Anca, et al.
Published: (2024)

HE-LRM: Efficient Private Embedding Lookups for Neural Inference Using Fully Homomorphic Encryption
by: Garimella, Karthik, et al.
Published: (2025)

Towards Provably Secure Encrypted Control Using Homomorphic Encryption
by: Teranishi, Kaoru, et al.
Published: (2022)

Efficient Encrypted Computation in Convolutional Spiking Neural Networks with TFHE
by: Guo, Longfei, et al.
Published: (2026)

Optimized Layerwise Approximation for Efficient Private Inference on Fully Homomorphic Encryption
by: Lee, Junghyun, et al.
Published: (2023)

MCP-DPT: A Defense-Placement Taxonomy and Coverage Analysis for Model Context Protocol Security
by: Rostamzadeh, Mehrdad, et al.
Published: (2026)

Traveling Salesman-Based Token Ordering Improves Stability in Homomorphically Encrypted Language Models
by: Rho, Donghwan, et al.
Published: (2025)

Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication
by: Choi, Hyunmin, et al.
Published: (2023)

A Scalable Multi-GPU Framework for Encrypted Large-Model Inference
by: Jayashankar, Siddharth, et al.
Published: (2025)

SecureRouter: Encrypted Routing for Efficient Secure Inference
by: Zhang, Yukuan, et al.
Published: (2026)

Fast and Accurate Homomorphic Softmax Evaluation
by: Cho, Wonhee, et al.
Published: (2024)

Fast Homomorphic Linear Algebra with BLAS
by: Bae, Youngjin, et al.
Published: (2025)

FHEON: A Configurable Framework for Developing Privacy-Preserving Neural Networks Using Homomorphic Encryption
by: Njungle, Nges Brian, et al.
Published: (2025)

Training Machine Learning Models on Encrypted Data: A Privacy-Preserving Framework using Homomorphic Encryption
by: Marques, Alexandre, et al.
Published: (2026)

Efficient Skip Connections Realization for Secure Inference on Encrypted Data
by: Drucker, Nir, et al.
Published: (2023)

Accurate Low-Degree Polynomial Approximation of Non-polynomial Operators for Fast Private Inference in Homomorphic Encryption
by: Tong, Jianming, et al.
Published: (2024)

Neural Network Training on Encrypted Data with TFHE
by: Montero, Luis, et al.
Published: (2024)

FOBNN: Fast Oblivious Inference via Binarized Neural Networks
by: Chen, Xin, et al.
Published: (2024)

Input-Output History Feedback Controller for Encrypted Control with Leveled Fully Homomorphic Encryption
by: Teranishi, Kaoru, et al.
Published: (2021)

Inference Attacks on Encrypted Online Voting via Traffic Analysis
by: Belousova, Anastasiia, et al.
Published: (2025)

Encrypted Large Model Inference: The Equivariant Encryption Paradigm
by: Buban, James, et al.
Published: (2025)

Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption
by: Lai, Zhizheng, et al.
Published: (2024)

A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks
by: Nikfam, Farzad, et al.
Published: (2023)

Towards Deep Encrypted Training: Low-Latency, Memory-Efficient, and High-Throughput Inference for Privacy-Preserving Neural Networks
by: Njungle, Nges Brian, et al.
Published: (2026)