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Authors
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Year

Deep Homeomorphic Data Encryption for Privacy Preserving Machine Learning

Peer-reviewed
Open access
DOI
10.1016/j.procs.2024.02.039
Terziyan, Vagan; Bilokon, Bohdan; Gavriushenko, Mariia
Procedia Computer Science2024

Blind Faith: Privacy-Preserving Machine Learning using Function Approximation

Peer-reviewed
Open access
DOI
10.1109/ISCC53001.2021.9631509
Khan, Tanveer; Bakas, Alexandros; Michalas, Antonis
Proceedings : IEEE Symposium on Computers and Communications2021

Learning in the Dark: Privacy-Preserving Machine Learning using Function Approximation

Peer-reviewed
Open access
DOI
10.1109/TrustCom60117.2023.00031
Khan, Tanveer; Michalas, Antonis
IEEE International Conference on Trust, Security and Privacy in Computing and Communications2024

Advances in Privacy-Preserving Machine Learning: Techniques, challenges, and applications

Open access
Khan, Tanveer
Tampere University Dissertations - Tampereen yliopiston väitöskirjat2025

Privacy Preserving Machine Learning With Federated Personalized Learning in Artificially Generated Environmen

Peer-reviewed
Open access
DOI
10.1109/OJCS.2024.3466859
Hosain Md. Tanzib; Abir Mushifiqur Rahman; Rahat Md. Yeasin; Mridha M. F.; Mukta Saddam
IEEE Open Journal of the Computer Society2024

GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption

Peer-reviewed
Open access
DOI
10.1145/3605098.3635983
Frimpong, Eugene; Nguyen, Khoa; Budzys, Mindaugas; Khan, Tanveer; Michalas, Antonis
ACM/SIGAPP Symposium on Applied Computing2024

Encryption and Generation of Images for Privacy-Preserving Machine Learning in Smart Manufacturing

Peer-reviewed
Open access
DOI
10.1016/j.procs.2022.12.205
Terziyan, Vagan; Malyk, Diana; Golovianko, Mariia; Branytskyi, Vladyslav
Procedia Computer Science2023

AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning

Peer-reviewed
DOI
10.1109/GLOBECOM46510.2021.9685232
Koda, Yusuke; Park, Jihong; Bennis, Mehdi; Vepakomma, Praneeth; Raskar, Ramesh
IEEE Global Communications Conference2021

Federated Learning for Privacy-Preserving Speaker Recognition

Peer-reviewed
Open access
DOI
10.1109/ACCESS.2021.3124029
Zewoudie, Abraham; Bäckström, Tom
IEEE Access2021

SPHERE-DNA: Privacy-Preserving Federated Learning for eHealth

Peer-reviewed
Open access
DOI
10.23919/DATE56975.2023.10137048
Nurmi, Jari; Xu, Yinda; Boutellier, Jani; Tan, Bo;
Proceedings : Design, Automation, and Test in Europe Conference and Exhibition2023

Deep Homeomorphic Data Encryption for Privacy Preserving Machine Learning

Peer-reviewed
Open access
DOI
10.1016/j.procs.2024.02.039
2024

Blind Faith: Privacy-Preserving Machine Learning using Function Approximation

Peer-reviewed
Open access
DOI
10.1109/ISCC53001.2021.9631509
2021

Learning in the Dark: Privacy-Preserving Machine Learning using Function Approximation

Peer-reviewed
Open access
DOI
10.1109/TrustCom60117.2023.00031
2024

Advances in Privacy-Preserving Machine Learning: Techniques, challenges, and applications

Open access
2025

Privacy Preserving Machine Learning With Federated Personalized Learning in Artificially Generated Environmen

Peer-reviewed
Open access
DOI
10.1109/OJCS.2024.3466859
2024

GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption

Peer-reviewed
Open access
DOI
10.1145/3605098.3635983
2024

Encryption and Generation of Images for Privacy-Preserving Machine Learning in Smart Manufacturing

Peer-reviewed
Open access
DOI
10.1016/j.procs.2022.12.205
2023

AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning

Peer-reviewed
DOI
10.1109/GLOBECOM46510.2021.9685232
2021

Federated Learning for Privacy-Preserving Speaker Recognition

Peer-reviewed
Open access
DOI
10.1109/ACCESS.2021.3124029
2021

SPHERE-DNA: Privacy-Preserving Federated Learning for eHealth

Peer-reviewed
Open access
DOI
10.23919/DATE56975.2023.10137048
2023