Utilizing Transfer Learning and Homomorphic Encryption in a Privacy Preserving and Secure Biometric Recognition System

THRIVE: Threshold Homomorphic encryption based secure and privacy preserving bIometric VErification system

In this paper, we propose a new biometric verification and template protection system which we call the THRIVE system. The system includes novel enrollment and authentication protocols based on threshold homomorphic cryptosystem where the private key is shared between a user and the verifier. In the THRIVE system, only encrypted binary biometric templates are stored in the database and verifica...

Privacy - Preserving Process ing of Biometric Templates by Homomorphic Encryption

Homomorphic encryption-based secure SIFT for privacy-preserving feature extraction

Privacy has received much attention but is still largely ignored in the multimedia community. Consider a cloud computing scenario, where the server is resource-abundant and is capable of finishing the designated tasks, it is envisioned that secure media retrieval and search with privacy-preserving will be seriously treated. In view of the fact that scaleinvariant feature transform (SIFT) has be...

Privacy Preserving using Homomorphic Encryption

In the recent time, privacy preserving has been studied extensively, because of the extensive explosion of sensitive information. Privacy preserving is one of the important areas that aim to provide security for secret information from unsolicited or unsanctioned disclosure. This has triggered the development of much privacy preserving technique using encryption algorithm. This work will presen...

Privacy Preserving Multi-party Machine Learning with Homomorphic Encryption

Privacy preserving multi-party machine learning approaches enable multiple parties to train a machine learning model from aggregate data while ensuring the privacy of their individual datasets is preserved. In this paper, we propose a privacy preserving multi-party machine learning approach based on homomorphic encryption where the machine learning algorithm of choice is deep neural networks. W...