Privacy-preserving statistical and machine learning methods under fully homomorphic encryption

Privacy-preserving statistical and machine learning methods under fully homomorphic encryption

<p>Advances in technology have now made it possible to monitor heart rate, body temperature and sleep patterns; continuously track movement; record brain activity; and sequence DNA in the jungle --- all using devices that fit in the palm of a hand. These and other recent developments have spar...

Deskribapen osoa

Xehetasun bibliografikoak
Egile nagusia:	Esperança, P
Beste egile batzuk:	Holmes, C
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	2016

Antzeko izenburuak

Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption
nork: Hong Cheng
Argitaratua: (2025-01-01)

Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network
nork: Joon-Woo Lee, et al.
Argitaratua: (2022-01-01)

Privacy-Preserving Feature Selection with Fully Homomorphic Encryption
nork: Shinji Ono, et al.
Argitaratua: (2022-06-01)

A Survey of Deep Learning Architectures for Privacy-Preserving Machine Learning With Fully Homomorphic Encryption
nork: Robert Podschwadt, et al.
Argitaratua: (2022-01-01)

Privacy Preserving Machine Learning with Homomorphic Encryption and Federated Learning
nork: Haokun Fang, et al.
Argitaratua: (2021-04-01)

Privacy-Preserving Collective Learning With Homomorphic Encryption
nork: Jestine Paul, et al.
Argitaratua: (2021-01-01)

Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption
nork: Sergiu Carpov, et al.
Argitaratua: (2020-07-01)

Privacy-Preserving Federated Learning Using Homomorphic Encryption
nork: Jaehyoung Park, et al.
Argitaratua: (2022-01-01)

Privacy Preserving Classification of EEG Data Using Machine Learning and Homomorphic Encryption
nork: Andreea Bianca Popescu, et al.
Argitaratua: (2021-08-01)

Privacy-preserving association rule mining via multi-key fully homomorphic encryption
nork: Peiheng Jia, et al.
Argitaratua: (2023-02-01)

Accelerating homomorphic encryption for privacy-preserving applications
nork: Ho, Truong Phu Truan
Argitaratua: (2020)

A Review of Homomorphic Encryption for Privacy-Preserving Biometrics
nork: Wencheng Yang, et al.
Argitaratua: (2023-03-01)

Privacy-preserving cancer type prediction with homomorphic encryption
nork: Esha Sarkar, et al.
Argitaratua: (2023-01-01)

Privacy-Preserved Approximate Classification Based on Homomorphic Encryption
nork: Xiaodong Xiao, et al.
Argitaratua: (2019-10-01)

Homomorphic Encryption Based Privacy-Preservation for IoMT
nork: Mikail Mohammed Salim, et al.
Argitaratua: (2021-09-01)

A privacy-preserving parallel and homomorphic encryption scheme
nork: Min Zhaoe, et al.
Argitaratua: (2017-04-01)

An Efficient and Privacy-Preserving Federated Learning Approach Based on Homomorphic Encryption
nork: Francesco Castro, et al.
Argitaratua: (2025-01-01)

Homomorphic Encryption-Based Federated Privacy Preservation for Deep Active Learning
nork: Hendra Kurniawan, et al.
Argitaratua: (2022-10-01)

Ensemble Method for Privacy-Preserving Logistic Regression Based on Homomorphic Encryption
nork: Jung Hee Cheon, et al.
Argitaratua: (2018-01-01)

BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models
nork: Febrianti Wibawa, et al.
Argitaratua: (2022-07-01)

Privacy-preserving approximate GWAS computation based on homomorphic encryption
nork: Duhyeong Kim, et al.
Argitaratua: (2020-07-01)

Efficient homomorphically encrypted privacy-preserving automated biometric classification
nork: Stein, David Benjamin.
Argitaratua: (2021)

Optimizing fully homomorphic encryption
nork: King, Kevin C
Argitaratua: (2018)

A privacy-preserving federated learning scheme with homomorphic encryption and edge computing
nork: Bian Zhu, et al.
Argitaratua: (2025-04-01)

Privacy-Preserving Reinforcement Learning Using Homomorphic Encryption in Cloud Computing Infrastructures
nork: Jaehyoung Park, et al.
Argitaratua: (2020-01-01)

Privacy-preserving attribute-based access control using homomorphic encryption
nork: Malte Kerl, et al.
Argitaratua: (2025-01-01)

Homomorphic encryption location privacy-preserving scheme based on Markov model
nork: Kai ZHOU, et al.
Argitaratua: (2017-01-01)

Privacy-Preserving IoT Data Aggregation Based on Blockchain and Homomorphic Encryption
nork: Faiza Loukil, et al.
Argitaratua: (2021-04-01)

A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks
nork: Farzad Nikfam, et al.
Argitaratua: (2023-10-01)

Homomorphic encryption location privacy-preserving scheme based on Markov model
nork: Kai ZHOU,Jian-qiong HE, et al.
Argitaratua: (2017-01-01)

HEFactory: A symbolic execution compiler for privacy-preserving Deep Learning with Homomorphic Encryption
nork: José Cabrero-Holgueras, et al.
Argitaratua: (2023-05-01)

Exploring the future of privacy-preserving heart disease prediction: a fully homomorphic encryption-driven logistic regression approach
nork: Vankamamidi S. Naresh, et al.
Argitaratua: (2025-02-01)

Multikey Fully Homomorphic Encryption and Applications
nork: López-Alt, Adriana, et al.
Argitaratua: (2021)

Multikey Fully Homomorphic Encryption and Applications
nork: López-Alt, Adriana, et al.
Argitaratua: (2021)

An overview of torus fully homomorphic encryption
nork: Maria Ferrara, et al.
Argitaratua: (2023-12-01)

On Constructing a Fully Homomorphic Encryption
nork: A. V. Shokurov, et al.
Argitaratua: (2018-10-01)

Fully Homomorphically Encrypted Deep Learning as a Service
nork: George Onoufriou, et al.
Argitaratua: (2021-10-01)

Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption
nork: Froelicher, David, et al.
Argitaratua: (2022)

Privacy Preservation of Data-Driven Models in Smart Grids Using Homomorphic Encryption
nork: Dabeeruddin Syed, et al.
Argitaratua: (2020-07-01)

A Privacy-Preserving Framework Using Homomorphic Encryption for Smart Metering Systems
nork: Weiyan Xu, et al.
Argitaratua: (2023-05-01)