Research interests: Data security & privacy, machine learning (ML)/ deep learning (DL), cybersecurity and decentralised systems (but not limited).
International Journal
2024
[1] T. K. Dang and P. T. Tran-Truong, “A Pragmatic Privacy-Preserving Deep Learning Framework Satisfying Differential Privacy,” SN Computer Science, vol. 5, no. 130, pp. 1-25, January 2024. DOI: 10.1007/s42979-023-02437-1. (Scopus Q2)
International Conference
2024
[4] H. H. X. Nguyen, T. K. Dang and P. T. Tran-Truong, “Money Laundering Detection using A Transaction-based Graph Learning Approach”, in 2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM), (Kuala Lumpur, Malaysia), IEEE, 2024, pp. 1-8. DOI: 10.1109/IMCOM60618.2024.10418307.
2023
[3] T. K. Dang, P. T. Tran-Truong and N. T. H. Trang, “An Enhanced Incentive Mechanism for Crowdsourced Federated Learning Based on Contract Theory and Shapley Value”, in Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications: 10th International Conference, (Da Nang City, Vietnam), Springer, Singapore: Springer Nature Singapore, 2023, pp. 1–16. DOI: 10.1007/978-981-99-8296-7_2.
2022
[2] P. T. Tran-Truong and T. K. Dang, “pPATE: A Pragmatic Private Aggregation of Teacher Ensembles Framework by Sparse Vector Technique Based Differential Privacy, Paillier Cryptosystem and Human-in-the-loop,” in Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications: 9th International Conference, (Ho Chi Minh city, Vietnam), Springer, Singapore: Springer Nature Singapore, 2022, pp. 332–346. DOI: 10.1007/978-981-19-8069-5_22.
2020
[1] T. K. Dang, P. T. T. Truong, and P. T. Tran, “Data poisoning attack on deep neural network and some defense methods,” in 2020 International Conference on Advanced Computing and Applications (ACOMP), (Quy Nhon City, Vietnam), IEEE, 2020, pp. 15–22. DOI:
[1] P. T. Tran-Truong and T. K. Dang, “RỦI RO VI PHẠM RIÊNG TƯ DỮ LIỆU TRONG HỌC SÂU,” Journal of Food Science and Technology, vol. 22, no. 3, pp. 330-343, September 2022. [Online].