Copertina

Privacy-Preserving Edge Computing from Pairing-Based Inner Product Functional Encryption

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Banerjee, Utsav
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Privacy-Preserving Traceable Functional Encryption for Inner Product
di: Qiu, Muyao, et al.
Pubblicazione: (2024)

Fast Plaintext-Ciphertext Matrix Multiplication from Additively Homomorphic Encryption
di: Ramapragada, Krishna Sai Tarun, et al.
Pubblicazione: (2025)

Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning
di: Scheu-Hachtel, Linda, et al.
Pubblicazione: (2025)

Flexible Threshold Multi-client Functional Encryption for Inner Product in Federated Learning
di: Zhang, Ruyuan, et al.
Pubblicazione: (2025)

Decentralized Multi-Authority Attribute-Based Inner-Product Functional Encryption: Noisy and Evasive Constructions from Lattices
di: Liu, Jiaqi, et al.
Pubblicazione: (2025)

A High-Performance Curve25519 and Curve448 Unified Elliptic Curve Cryptography Accelerator
di: Banerjee, Aniket, et al.
Pubblicazione: (2025)

A Privacy-Preserving Graph Encryption Scheme Based on Oblivious RAM
di: Kane, Seyni, et al.
Pubblicazione: (2024)

Leveraging Functional Encryption and Deep Learning for Privacy-Preserving Traffic Forecasting
di: Adom, Isaac, et al.
Pubblicazione: (2025)

Privacy Protection of Automotive Location Data Based on Format-Preserving Encryption of Geographical Coordinates
di: Ji, Haojie, et al.
Pubblicazione: (2025)

Privacy-Preserving for Images in Satellite Communications: A Comprehensive Review of Chaos-Based Encryption
di: Rashid, Farrukh Bin, et al.
Pubblicazione: (2024)

HHEML: Hybrid Homomorphic Encryption for Privacy-Preserving Machine Learning on Edge
di: Chan, Yu Hin, et al.
Pubblicazione: (2025)

Activate Me!: Designing Efficient Activation Functions for Privacy-Preserving Machine Learning with Fully Homomorphic Encryption
di: Njungle, Nges Brian, et al.
Pubblicazione: (2025)

Inner-product Functional Encryption with Fine-grained Revocation for Flexible EHR Sharing
di: Han, Yue, et al.
Pubblicazione: (2025)

Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption
di: Manh, Bui Duc, et al.
Pubblicazione: (2024)

Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption
di: Costa, Ivan, et al.
Pubblicazione: (2026)

Efficient and Privacy-Preserving Federated Learning based on Full Homomorphic Encryption
di: Guo, Yuqi, et al.
Pubblicazione: (2024)

Outsourced Privacy-Preserving Feature Selection Based on Fully Homomorphic Encryption
di: Wakiyama, Koki, et al.
Pubblicazione: (2025)

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

Secure Multi-Key Homomorphic Encryption with Application to Privacy-Preserving Federated Learning
di: Wu, Jiahui, et al.
Pubblicazione: (2025)

Blind Evaluation Framework for Fully Homomorphic Encryption and Privacy-Preserving Machine Learning
di: Lee, Hunjae "Timothy", et al.
Pubblicazione: (2023)

Efficient Privacy-Preserving Sparse Matrix-Vector Multiplication Using Homomorphic Encryption
di: Gao, Yang, et al.
Pubblicazione: (2026)

Efficient Privacy-Preserving Retrieval Augmented Generation with Distance-Preserving Encryption
di: Ye, Huanyi, et al.
Pubblicazione: (2026)

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

Verifiable Privacy-Preserving Computing
di: Bontekoe, Tariq, et al.
Pubblicazione: (2023)

Privacy-Preserving Diffusion Model Using Homomorphic Encryption
di: Chen, Yaojian, et al.
Pubblicazione: (2024)

Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption
di: Omar, Abdullah Al, et al.
Pubblicazione: (2025)

Blockchain-Integrated Privacy-Preserving Medical Insurance Claim Processing Using Homomorphic Encryption
di: Mamoria, Diya, et al.
Pubblicazione: (2025)

PP-STAT: An Efficient Privacy-Preserving Statistical Analysis Framework using Homomorphic Encryption
di: Choi, Hyunmin
Pubblicazione: (2025)

Privacy-Preserving Spiking Neural Networks: A Deep Dive into Encryption Parameter Optimisation
di: Pulivathi, Mahitha, et al.
Pubblicazione: (2025)

Privacy-Preserving Federated Learning from Partial Decryption Verifiable Threshold Multi-Client Functional Encryption
di: Wang, Minjie, et al.
Pubblicazione: (2025)

VFEFL: Privacy-Preserving Federated Learning against Malicious Clients via Verifiable Functional Encryption
di: Cai, Nina, et al.
Pubblicazione: (2025)

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

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

Experimental Evaluation of Post-Quantum Homomorphic Encryption for Privacy-Preserving I2I Communication in ITS
di: Mamun, Abdullah Al, et al.
Pubblicazione: (2025)

FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
di: Jin, Weizhao, et al.
Pubblicazione: (2023)

Homomorphic Encryption-Enabled Federated Learning for Privacy-Preserving Intrusion Detection in Resource-Constrained IoV Networks
di: Manh, Bui Duc, et al.
Pubblicazione: (2024)

A Pervasive, Efficient and Private Future: Realizing Privacy-Preserving Machine Learning Through Hybrid Homomorphic Encryption
di: Nguyen, Khoa, et al.
Pubblicazione: (2024)

A Survey on Privacy-Preserving Computing in the Automotive Domain
di: Yuca, Nergiz, et al.
Pubblicazione: (2025)

A Novel Feature-Aware Chaotic Image Encryption Scheme For Data Security and Privacy in IoT and Edge Networks
di: Khan, Muhammad Shahbaz, et al.
Pubblicazione: (2025)

Privacy-Preserving Graph-Based Machine Learning with Fully Homomorphic Encryption for Collaborative Anti-Money Laundering
di: Effendi, Fabrianne, et al.
Pubblicazione: (2024)