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2020 – today
- 2026
[j3]Anh-Tu Tran
, The-Dung Luong, Van-Nam Huynh:
PriFLRC: A secure multi-party computation-based privacy-enhanced federated learning scheme resilient to collusion. Neurocomputing 670: 132574 (2026)- 2025
- [c7]Anh-Tu Tran, The-Dung Luong:
SMC-PATE: A Secure Enhanced Private Aggregation of Teacher Ensembles with Secure Multiparty Computation. IUKM (1) 2025: 76-86 - 2024
- [j2]Anh-Tu Tran, The-Dung Luong, Van-Nam Huynh:
A comprehensive survey and taxonomy on privacy-preserving deep learning. Neurocomputing 576: 127345 (2024) - [c6]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: 98-107 - [c5]Anh-Tu Tran, Trong-Nghia Mai, Van-Quyet Nguyen:
Visual Explanations from Deep Networks Using GradCAM in Federated Learning. RIVF 2024: 438-443 - 2023
- [c4]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: 321-333 - [c3]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: 1-6 - 2022
- [c2]Anh-Tu Tran, The Dung Luong, Xuan Sang Pham, Thi-Luong Tran:
Deep Models with Differential Privacy for Distributed Web Attack Detection. KSE 2022: 1-6 - 2021
- [j1]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: 245-262 (2021) - [c1]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: 1-6
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