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SecureBP from Homomorphic Encryption
Security and Communication Networks, Volume 2020, Issue 1, 2020., 2020 We present a secure backpropagation neural network training model (SecureBP), which allows a neural network to be trained while retaining the confidentiality of the training data, based on the homomorphic encryption scheme. We make two contributions.
Qinju Liu +6 more
wiley +1 more source
Privacy-Preserving Feature Selection with Fully Homomorphic Encryption
Algorithms, 2022 For the feature selection problem, we propose an efficient privacy-preserving algorithm. Let D, F, and C be data, feature, and class sets, respectively, where the feature value x(Fi) and the class label x(C) are given for each x∈D and Fi∈F. For a triple (
Shinji Ono +5 more
doaj +1 more source
Setting Up Efficient TFHE Parameters for Multivalue Plaintexts and Multiple Additions [PDF]
, 2021 Unlike traditional and/or standardized ciphers, TFHE offers much space for the setup of its parameters. Not only the parameter choice affects the plaintext space size and security, it also greatly impacts the performance of TFHE, in particular, its ...
Jakub Klemsa
core
Logic Locking over TFHE for Securing User Data and Algorithms [PDF]
2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC), January 22-25, 2024, Incheon, Republic of KoreaThis paper proposes the application of logic locking over TFHE to protect both user data and algorithms, such as input user data and ...
Hashimoto, Masanori +3 more
core +2 more sources
TFHE: Fast Fully Homomorphic Encryption Over the Torus [PDF]
Journal of Cryptology, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chillotti, Ilaria +3 more
openaire +4 more sources
Multi-Key Homomorphic Encryption Scheme with Multi-Output Programmable Bootstrapping
Mathematics, 2023 Multi-key Homomorphic Encryption (MKHE) scheme can homomorphically evaluate ciphertexts encrypted by different keys, which can effectively protect the privacy information of data holders in the joint computing of cloud services.
Lingwu Li, Ruwei Huang
doaj +1 more source
TFHE Public-Key Encryption Revisited [PDF]
, 2023 This note introduces a public-key variant of TFHE. The output ciphertexts are of LWE type. Interestingly, the public key is shorter and the resulting ciphertexts are less noisy. The security of the scheme holds under the standard RLWE assumption. Several
Marc Joye
core
Transactions on Cryptographic Hardware and Embedded Systems, 2023 The functional bootstrap in FHEW/TFHE allows for fast table lookups on ciphertexts and is a powerful tool for privacy-preserving computations. However, the functional bootstrap suffers from two limitations: the negacyclic constraint of the lookup table (
Shihe Ma +4 more
doaj +1 more source
CRT representation of LWE Based TFHE
Computational and Applied MathematicsAbstract Homomorphic encryption is a special type of encryption that allows you to perform homomorphic operations on encrypted data without decryption, ensuring data security. This is the most important system that needs to be developed for customer and/or patient privacy on behalf of all sectors using a cloud system.
Mehmet Özen +3 more
openaire +1 more source
JDDG: Journal der Deutschen Dermatologischen Gesellschaft, Volume 24, Issue 4, Page 495-503, April 2026.Zusammenfassung Hintergrund und Zielsetzung Während Brentuximab vedotin (BV) oder Strahlentherapie (RTx) gängige Behandlungsoptionen für CD30‐positive kutane T‐Zell‐Lymphome (CTCL) sind, wurde über die Wirksamkeit und Verträglichkeit ihrer gleichzeitigen oder aufeinanderfolgenden Anwendung nur selten berichtet.
Patrick Schummer +10 more
wiley +1 more source