Results 31 to 40 of about 2,104 (177)
Fat mass and obesity-associated protein regulates arecoline-exposed oral cancer immune response through programmed cell death-ligand 1. [PDF]
Cancer Sci, 2022 PD‐L1 expression is upregulated in arecoline‐exposed OSCC cell lines and tissues and is associated with areca nut exposure. FTO promotes the stability and expression levels of PD‐L1 transcripts through modulating m6A modification and MYC, respectively.
Li X +7 more
europepmc +2 more sources
Overlapped Bootstrapping for FHEW/TFHE and Its Application to SHA3 [PDF]
Homomorphic Encryption (HE) enables operations on encrypted data without requiring decryption, thus allowing for secure handling of confidential data within smart contracts.
Deokhwa Hong +3 more
core +4 more sources
The macrocycle inhibitor landscape of SLC-transporter. [PDF]
Mol InformAbstract In the past years the interest in Solute Carrier Transporters (SLC) has increased due to their potential as drug targets. At the same time, macrocycles demonstrated promising activities as therapeutic agents. However, the overall macrocycle/SLC‐transporter interaction landscape has not been fully revealed yet.
Granulo N, Sosnin S, Digles D, Ecker GF.
europepmc +2 more sources
Privacy‐Preserving Outsourced Logistic Regression on Encrypted Data from Homomorphic Encryption
Security and Communication Networks, Volume 2022, Issue 1, 2022., 2022 Logistic regression is a data statistical technique, which is used to predict the probability that an event occurs. For some scenarios where the storage capabilities and computing resources of the data owner are limited, the data owner wants to train the logistic regression model on the cloud service provider, while the high sensitivity of training ...
Xiaopeng Yu +5 more
wiley +1 more source
Multiparty Threshold Private Set Intersection Protocol with Low Communication Complexity
Security and Communication Networks, Volume 2022, Issue 1, 2022., 2022 Multiparty threshold private set intersection (MP‐TPSI) protocol allows n mutually untrusted parties P1, P2, …, Pn holding data sets A1, A2, …, An of size m respectively to jointly compute the intersection I = A1∩A2∩⋯∩An over all their private data sets only if the size of intersection is larger than (m − t), while ensuring that no other private ...
Xiaopeng Yu +5 more
wiley +1 more source
CHIMERA: Combining Ring-LWE-based Fully Homomorphic Encryption Schemes
Journal of Mathematical Cryptology, 2020 This paper proposes a practical hybrid solution for combining and switching between three popular Ring-LWE-based FHE schemes: TFHE, B/FV and HEAAN. This is achieved by first mapping the different plaintext spaces to a common algebraic structure and then ...
Boura Christina +3 more
doaj +1 more source
Compressible Multikey and Multi‐Identity Fully Homomorphic Encryption
Security and Communication Networks, Volume 2021, Issue 1, 2021., 2021 With the development of new computing models such as cloud computing, user’s data are at the risk of being leaked. Fully homomorphic encryption (FHE) provides a possible way to fundamentally solve the problem. It enables a third party who does not know anything about the secret key and plaintexts to homomorphically perform any computable functions on ...
Tongchen Shen +5 more
wiley +1 more source
Security and Communication Networks, Volume 2021, Issue 1, 2021., 2021 Homomorphic encryption (HE) is notable for enabling computation on encrypted data as well as guaranteeing high‐level security based on the hardness of the lattice problem. In this sense, the advantage of HE has facilitated research that can perform data analysis in an encrypted state as a purpose of achieving security and privacy for both clients and ...
Joon Soo Yoo, Ji Won Yoon, Junggab Son
wiley +1 more source
Cloud-Assisted Private Set Intersection via Multi-Key Fully Homomorphic Encryption
Mathematics, 2023 With the development of cloud computing and big data, secure multi-party computation, which can collaborate with multiple parties to deal with a large number of transactions, plays an important role in protecting privacy.
Cunqun Fan +6 more
doaj +1 more source
Deep Neural Networks for Encrypted Inference with TFHE
, 2023 Fully homomorphic encryption (FHE) is an encryption method that allows to perform computation on encrypted data, without decryption. FHE preserves the privacy of the users of online services that handle sensitive data, such as health data, biometrics, credit scores and other personal information.
Andrei Stoian +5 more
openaire +3 more sources