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Nguyen Huu Quyen
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2020 – today
- 2024
- [j3]Phan The Duy, Vo Quang Minh, Dang Bui Tan Hai, Ngo Duc Hoang Son, Nguyen Huu Quyen, Van-Hau Pham:
A Study on Adversarial Sample Resistance and Defense Mechanism for Multimodal Learning-Based Phishing Website Detection. IEEE Access 12: 137805-137824 (2024) - 2023
- [j2]Phan The Duy, Nguyen Huu Quyen, Nghi Hoang Khoa, Dung Tran Tuan, Van-Hau Pham:
FedChain-Hunter: A reliable and privacy-preserving aggregation for federated threat hunting framework in SDN-based IIoT. Internet Things 24: 100966 (2023) - [c4]Le Cong Trinh, Vu Trung Kien, Trinh Minh Hoang, Nguyen Huu Quyen, Nghi Hoang Khoa, Phan The Duy, Van-Hau Pham:
A Multimodal Deep Learning Approach for Efficient Vulnerability Detection in Smart Contracts. GLOBECOM 2023: 3421-3426 - [i2]Phan The Duy, Nghi Hoang Khoa, Nguyen Huu Quyen, Le Cong Trinh, Vu Trung Kien, Trinh Minh Hoang, Van-Hau Pham:
VulnSense: Efficient Vulnerability Detection in Ethereum Smart Contracts by Multimodal Learning with Graph Neural Network and Language Model. CoRR abs/2309.08474 (2023) - [i1]Tran Duc Luong, Vuong Minh Tien, Nguyen Huu Quyen, Do Thi Thu Hien, Phan The Duy, Van-Hau Pham:
Fed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat Detection System via Autoencoder-based Latent Space Inspection. CoRR abs/2309.11053 (2023) - 2022
- [c3]Nguyen Huu Quyen, Phan The Duy, Nguyen Chi Vy, Do Thi Thu Hien, Van-Hau Pham:
Federated Intrusion Detection on Non-IID Data for IIoT Networks Using Generative Adversarial Networks and Reinforcement Learning. ISPEC 2022: 364-381 - [c2]Le Van Hoang, Nguyen Xuan Nhu, To Trong Nghia, Nguyen Huu Quyen, Van-Hau Pham, Phan The Duy:
Leveraging Deep Reinforcement Learning for Automating Penetration Testing in Reconnaissance and Exploitation Phase. RIVF 2022: 41-46 - 2021
- [c1]Nguyen Chi Vy, Nguyen Huu Quyen, Phan The Duy, Van-Hau Pham:
Federated Learning-Based Intrusion Detection in the Context of IIoT Networks: Poisoning Attack and Defense. NSS 2021: 131-147
2010 – 2019
- 2014
- [j1]Andrew Nelson, Tri Setiyono, Arnel B. Rala, Emma D. Quicho, Jeny V. Raviz, Prosperidad J. Abonete, Aileen A. Maunahan, Cornelia A. Garcia, Hannah Zarah M. Bhatti, Lorena S. Villano, Pongmanee Thongbai, Francesco Holecz, Massimo Barbieri, Francesco Collivignarelli, Luca Gatti, Eduardo Jimmy P. Quilang, Mary Rose O. Mabalay, Pristine E. Mabalot, Mabel I. Barroga, Alfie P. Bacong, Norlyn T. Detoito, Glorie Belle Berja, Frenciso Varquez, Wahyunto, Dwi Kuntjoro, Sri Retno Murdiyati, Sellaperumal Pazhanivelan, Pandian Kannan, Petchimuthu Christy Nirmala Mary, Elangovan Subramanian, Preesan Rakwatin, Amornrat Intrman, Thana Setapayak, Sommai Lertna, Vo Quang Minh, Vo Quoc Tuan, Trinh Hoang Duong, Nguyen Huu Quyen, Duong Van Kham, Sarith Hin, Touch Veasna, Manoj Yadav, Chharom Chin, Nguyen Hong Ninh:
Towards an Operational SAR-Based Rice Monitoring System in Asia: Examples from 13 Demonstration Sites across Asia in the RIICE Project. Remote. Sens. 6(11): 10773-10812 (2014)
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last updated on 2024-10-23 20:33 CEST by the dblp team
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