Cargando…

Logistic regression over encrypted data from fully homomorphic encryption

BACKGROUND: One of the tasks in the 2017 iDASH secure genome analysis competition was to enable training of logistic regression models over encrypted genomic data. More precisely, given a list of approximately 1500 patient records, each with 18 binary features containing information on specific muta...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Hao, Gilad-Bachrach, Ran, Han, Kyoohyung, Huang, Zhicong, Jalali, Amir, Laine, Kim, Lauter, Kristin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2018
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6180402/ https://www.ncbi.nlm.nih.gov/pubmed/30309350 http://dx.doi.org/10.1186/s12920-018-0397-z

Ejemplares similares

Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption
por: Carpov, Sergiu, et al.
Publicado: (2020)

Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation
por: Kim, Miran, et al.
Publicado: (2018)

Logistic regression model training based on the approximate homomorphic encryption
por: Kim, Andrey, et al.
Publicado: (2018)

Private genome analysis through homomorphic encryption
por: Kim, Miran, et al.
Publicado: (2015)

Fully homomorphic encryption in real world applications
por: Chatterjee, Ayantika, et al.
Publicado: (2019)

Reversible Data Hiding Algorithm in Fully Homomorphic Encrypted Domain
por: Li, Jingxuan, et al.
Publicado: (2019)

Quantum Search on Encrypted Data Based on Quantum Homomorphic Encryption
por: Zhou, Qing, et al.
Publicado: (2020)

Secure Inference on Homomorphically Encrypted Genotype Data with Encrypted Linear Models
por: Zou, Meng, et al.
Publicado: (2023)

Achieving GWAS with homomorphic encryption
por: Sim, Jun Jie, et al.
Publicado: (2020)

Configurable Encryption and Decryption Architectures for CKKS-Based Homomorphic Encryption
por: Lee, Jaehyeok, et al.
Publicado: (2023)

Towards Secure Big Data Analysis via Fully Homomorphic Encryption Algorithms
por: Hamza, Rafik, et al.
Publicado: (2022)

Private queries on encrypted genomic data
por: Çetin, Gizem S., et al.
Publicado: (2017)

A quantum approach to homomorphic encryption
por: Tan, Si-Hui, et al.
Publicado: (2016)

Applying Deep Neural Networks over Homomorphic Encrypted Medical Data
por: Vizitiu, Anamaria, et al.
Publicado: (2020)

Secure Data Aggregation with Fully Homomorphic Encryption in Large-Scale Wireless Sensor Networks
por: Li, Xing, et al.
Publicado: (2015)

A Regev-Type Fully Homomorphic Encryption Scheme Using Modulus Switching
por: Chen, Zhigang, et al.
Publicado: (2014)

Pipelined Key Switching Accelerator Architecture for CKKS-Based Fully Homomorphic Encryption
por: Duong, Phap Ngoc, et al.
Publicado: (2023)

Semi-Parallel logistic regression for GWAS on encrypted data
por: Kim, Miran, et al.
Publicado: (2020)

Privacy-preserving breast cancer recurrence prediction based on homomorphic encryption and secure two party computation
por: Son, Yongha, et al.
Publicado: (2021)

EDLaaS:Fully Homomorphic Encryption over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting
por: Onoufriou, George, et al.
Publicado: (2022)

Homomorphic Encryption and Some Black Box Attacks
por: Borovik, Alexandre, et al.
Publicado: (2020)

Blockchain Data Secure Transmission Method Based on Homomorphic Encryption
por: Peng, Sheng, et al.
Publicado: (2022)

Fractal-Based Hybrid Cryptosystem: Enhancing Image Encryption with RSA, Homomorphic Encryption, and Chaotic Maps
por: Mfungo, Dani Elias, et al.
Publicado: (2023)

Is Homomorphic Encryption-Based Deep Learning Secure Enough?
por: Shin, Jinmyeong, et al.
Publicado: (2021)

Homomorphic Asymmetric Encryption Applied to the Analysis of IoT Communications
por: López Delgado, Juan Luis, et al.
Publicado: (2022)

Privacy-preserving cancer type prediction with homomorphic encryption
por: Sarkar, Esha, et al.
Publicado: (2023)

A Review of Homomorphic Encryption for Privacy-Preserving Biometrics
por: Yang, Wencheng, et al.
Publicado: (2023)

A secure SNP panel scheme using homomorphically encrypted K-mers without SNP calling on the user side
por: Park, Sungjoon, et al.
Publicado: (2019)

FORESEE: Fully Outsourced secuRe gEnome Study basEd on homomorphic Encryption
por: Zhang, Yuchen, et al.
Publicado: (2015)

Privacy-preserving genome-wide association studies on cloud environment using fully homomorphic encryption
por: Lu, Wen-Jie, et al.
Publicado: (2015)

Privacy-Preserving IoT Data Aggregation Based on Blockchain and Homomorphic Encryption
por: Loukil, Faiza, et al.
Publicado: (2021)

Secure searching of biomarkers through hybrid homomorphic encryption scheme
por: Kim, Miran, et al.
Publicado: (2017)

Privacy-preserving approximate GWAS computation based on homomorphic encryption
por: Kim, Duhyeong, et al.
Publicado: (2020)

Training of Classification Models via Federated Learning and Homomorphic Encryption
por: Angulo, Eduardo, et al.
Publicado: (2023)

Advancing Federated Learning through Verifiable Computations and Homomorphic Encryption
por: Zhang, Bingxue, et al.
Publicado: (2023)

Adaptive Autonomous Protocol for Secured Remote Healthcare Using Fully Homomorphic Encryption (AutoPro-RHC)
por: Sheu, Ruey-Kai, et al.
Publicado: (2023)

Collaborative privacy-preserving analysis of oncological data using multiparty homomorphic encryption
por: Geva, Ravit, et al.
Publicado: (2023)

Optimized homomorphic encryption solution for secure genome-wide association studies
por: Blatt, Marcelo, et al.
Publicado: (2020)

A systematic review of homomorphic encryption and its contributions in healthcare industry
por: Munjal, Kundan, et al.
Publicado: (2022)

Secure tumor classification by shallow neural network using homomorphic encryption
por: Hong, Seungwan, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_3rodf066bussj9fsupp7l9mh96