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Anh-Tu Tran
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 7
Top Topics
Privacy Preserving
Differential Privacy
Vertically Partitioned Data
Multi Party
Top Venues
KSE
Neurocomputing
IUKM (2)
BELIEF
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Publications
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Anh-Tu Tran
,
Van-Nam Huynh
,
Viet-Hung Dang
A Novel Privacy Preserving Framework for Training Dempster-Shafer Theory-Based Evidential Deep Neural Network.
BELIEF
(2024)
Anh-Tu Tran
,
The-Dung Luong
,
Van-Nam Huynh
A comprehensive survey and taxonomy on privacy-preserving deep learning.
Neurocomputing
576 (2024)
Anh-Tu Tran
,
Xuan Sang Pham
A Novel Privacy-Preserving Deep Learning Scheme for the Classification of Covid-19 in Chest X-Ray Images.
KSE
(2023)
Anh-Tu Tran
,
The Dung Luong
,
Xuan Sang Pham
A Novel Privacy-Preserving Federated Learning Model Based on Secure Multi-party Computation.
IUKM (2)
(2023)
Anh-Tu Tran
,
The Dung Luong
,
Xuan Sang Pham
,
Thi-Luong Tran
Deep Models with Differential Privacy for Distributed Web Attack Detection.
KSE
(2022)
Anh-Tu Tran
,
The-Dung Luong
,
Jessada Karnjana
,
Van-Nam Huynh
An efficient approach for privacy preserving decentralized deep learning models based on secure multi-party computation.
Neurocomputing
422 (2021)
Anh-Tu Tran
,
The-Dung Luong
,
Cong-Chieu Ha
,
Duc-Tho Hoang
,
Thi-Luong Tran
Secure Inference via Deep Learning as a Service without Privacy Leakage.
RIVF
(2021)