Results 71 to 80 of about 1,338 (191)

Multi-Key Homomorphic Encryption from TFHE

, 2019
© 2019, International Association for Cryptologic Research.In this paper, we propose a Multi-Key Homomorphic Encryption (MKHE) scheme by generalizing the low-latency homomorphic encryption by Chillotti et al. (ASIACRYPT 2016).
Yongsoo Song, Chillotti, Ilaria, Song, Yongsoo, Hao Chen, Ilaria Chillotti, Chen, Hao   +5 more
core   +1 more source

Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption

CoRR
Federated Learning (FL) enables collaborative training while keeping sensitive data on clients' devices, but local model updates can still leak private information. Hybrid Homomorphic Encryption (HHE) has recently been applied to FL to mitigate client overhead while preserving privacy.
Ivan Costa, Pedro Correia, Ivone Amorim, Eva Maia, Isabel Praça   +4 more
openaire   +2 more sources

A Theoretical Model for Privacy-Preserving IoMT Based on Hybrid SDAIPA Classification Approach and Optimized Homomorphic Encryption

Computers
The Internet of Medical Things (IoMT) improves healthcare delivery through many medical applications. Because of medical data sensitivity and limited resources of wearable technology, privacy and security are significant challenges.
Mohammed Ali R. Alzahrani
doaj   +1 more source

Anamorphic Encryption: New Constructions and Homomorphic Realizations [PDF]

The elegant paradigm of Anamorphic Encryption (Persiano et al., Eurocrypt 2022) considers the question of establishing a private communication in a world controlled by a dictator.
Dario Catalano, Emanuele Giunta, Francesco Migliaro   +2 more
core  

Symmetrical Disguise: Realizing Homomorphic Encryption Services from Symmetric Primitives (extended version) [PDF]

, 2022
Homomorphic Encryption (HE) is a modern cryptographic technique that allows direct computations on encrypted data. While relatively new to the mainstream debate, HE has been a solid topic in research for decades.
Antonis Michalas, Alexandros Bakas, Eugene Frimpong   +2 more
core  

Selective Homomorphic Encryption With LLE Enhances Privacy and Scalability in Doorbell Face Recognition

IEEE Access
The rapid adoption of smart-home and Internet-of-Things (IoT) devices has intensified the need for privacy-preserving biometric authentication that is both secure and computationally efficient.
Raniyah Wazirali, Fatma Foad Ashrif, Rami Ahmad   +2 more
doaj   +1 more source

HHEML: Hybrid Homomorphic Encryption for Privacy-Preserving Machine Learning on Edge

2025 International Conference on Field Programmable Technology (ICFPT)
Privacy-preserving machine learning (PPML) is an emerging topic to handle secure machine learning inference over sensitive data in untrusted environments. Fully homomorphic encryption (FHE) enables computation directly on encrypted data on the server side, making it a promising approach for PPML.
Yu Hin Chan, Hao Yang 0062, Shiyu Shen 0001, Xingyu Fan, Shengzhe Lyu, Patrick S. Y. Hung, Ray C. C. Cheung   +6 more
openaire   +2 more sources

Transciphering Framework for Approximate Homomorphic Encryption (Full Version) [PDF]

, 2021
Homomorphic encryption (HE) is a promising cryptographic primitive that enables computation over encrypted data, with a variety of applications including medical, genomic, and financial tasks. In Asiacrypt 2017, Cheon et al.
Seongkwang Kim, Joohee Lee, Jooyoung Lee, Hyojin Yoon, Byeonghak Lee, Dukjae Moon, Jincheol Ha, Jihoon Cho   +7 more
core  

A privacy-preserving, on-board satellite image classification technique incorporating homomorphic encryption and transfer learning

Frontiers in Remote Sensing
Satellite image classification is an important and challenging task in the modern technological age. Satellites can capture images of danger-prone areas with very little effort. However, the size and number of satellite images are very high when they are
Abhijit Roy, Mahendra Kumar Gourisaria, Rajdeep Chatterjee, Amitkumar V. Jha, Bhargav Appasani, Nicu Bizon, Alin Gheorghita Mazare   +6 more
doaj   +1 more source

Secure Data Storage on the Cloud using Homomorphic Encryption [PDF]

, 2013
Organizations are showing great interest in storing data on public clouds. This could be a result of the unprecedented growth of data recorded in the last few years.
Mohanty, Manoj Kumar
core