Results 51 to 60 of about 18,513 (227)

Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption

Security and Safety
Fully Homomorphic Encryption (FHE), known for its ability to process encrypted data without decryption, is a promising technique for solving privacy concerns in the machine learning era. However, there are many kinds of available FHE schemes and way more
Hong Cheng
doaj   +1 more source

Batch Symmetric Fully Homomorphic Encryption Using Matrix Polynomials

Труды Института системного программирования РАН, 2018
Fully homomorphic encryption (FHE) is a recognized tool to obtain the cryptographic protec-tion of cloud computing. However, the characteristics of existing FHE schemes are not suffi-cient for use in practice the security of some FHE is unsatisfying ...
Ph. Burtyka
doaj   +1 more source

On the practical CPAD security of "exact" and threshold FHE schemes and libraries

IACR Cryptology ePrint Archive
. In their Eurocrypt’21 seminal paper, Li and Micciancio presented a passive attack against the CKKS approximate FHE scheme and introduced the notion of CPA D security. The current status quo is that this line of attacks does not apply to “exact” FHE. In
Marina Checri, Renaud Sirdey, Aymen Boudguiga, Jean-Paul Bultel, Antoine Choffrut   +4 more
semanticscholar   +1 more source

Noah's Ark: Efficient Threshold-FHE Using Noise Flooding

IACR Cryptology ePrint Archive, 2023
We outline a secure and efficient methodology to do threshold distributed decryption for LWE based Fully Homomorphic Encryption schemes. Due to the smaller parameters used in some FHE schemes, such as Torus-FHE (TFHE), the standard technique of "noise ...
Morten Dahl, Daniel Demmler, Sarah El Kazdadi, Arthur Meyre, J. Orfila, Dragos Rotaru, N. Smart, Samuel Tap, Michael Walter   +8 more
semanticscholar   +1 more source

Exploring feature variability in digitally captured signatures—Part I: Variability in genuine signatures and the effects of collection sessions and writing position

Journal of Forensic Sciences, EarlyView.
Abstract Digitally captured signatures (DCSs) pose new challenges for forensic handwriting examination compared with paper‐based signatures. While DCSs provide spatial coordinates, time and force values for forensic examination, the variability of the features derived from these data remains insufficiently understood.
Jonathan Heckeroth, Axel Kerkhoff, Paul Schmidt, Raymond Marquis, Erich Kupferschmid, Céline Weyermann   +5 more
wiley   +1 more source

A Brief Survey on Hardware Implementation of Fully Homomorphic Encryption

Cryptography
Leveraging the favorable properties of cryptographic computation, FHE effectively ensures data availability without visibility, thereby holding broad application prospects in cloud computing security and data privacy protection.
Yang Su, Kaixuan Zhou, Weidong Zhong, Jianfei Wang, Jia Hou, Chen Yang   +5 more
doaj   +1 more source

MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption [PDF]

IEEE International Joint Conference on Neural Network
The integration of fully homomorphic encryption (FHE) in federated learning (FL) has led to significant advances in data privacy. However, during the aggregation phase, it often results in performance degradation of the aggregated model, hindering the ...
Siddhant Dutta, Nouhaila Innan, S. Ben Yahia, Muhammad Shafique, David E. Bernal Neira   +4 more
semanticscholar   +1 more source

Exploring feature variability in digitally captured signatures—Part II: Discrimination between genuine and simulated signatures and the effects of collection sessions and writing position

Journal of Forensic Sciences, EarlyView.
Abstract This study investigated the discrimination between genuine and simulated digitally captured signatures (DCSs) to support their forensic examination. The dataset included genuine questioned signatures from 65 writers, collected across multiple sessions and in three writing positions, together with reference signatures collected in the standard ...
Jonathan Heckeroth, Axel Kerkhoff, Paul Schmidt, Raymond Marquis, Erich Kupferschmid, Céline Weyermann   +5 more
wiley   +1 more source

A Regev-Type Fully Homomorphic Encryption Scheme Using Modulus Switching

The Scientific World Journal, 2014
A critical challenge in a fully homomorphic encryption (FHE) scheme is to manage noise. Modulus switching technique is currently the most efficient noise management technique.
Zhigang Chen, Jian Wang, Liqun Chen, Xinxia Song   +3 more
doaj   +1 more source

FAST:An FHE Accelerator for Scalable-parallelism with Tunable-bit

International Symposium on Computer Architecture
Fully Homomorphic Encryption (FHE) enables direct computation on encrypted data, providing substantial security advantages in cloud-based modern society.
Sheng-Yu Fan, Xiang-Long Deng, Liang Kong, Guiming Shi, Guang Fan, Dan Meng, Rui Hou, Ming-Zhe Zhang   +7 more
semanticscholar   +1 more source