83 citations
- Hanoi University of Science and TechnologyVN4 papers
- VNU University of ScienceVN4 papers
- Heriot-Watt UniversityGB3 papers
- Vietnam Academy of Science and TechnologyVN3 papers
- Imperial College LondonGB2 papers
- Institute of MathematicsPL2 papers
- Japan Advanced Institute of Science and TechnologyJP2 papers
- Max Planck Institute for the Science of LightDE2 papers
- Politecnico di MilanoIT2 papers
- Sun Chemical (United States)US2 papers
- Tay Bac UniversityVN2 papers
- Transnational Press LondonGB2 papers
24 papers
AutoDP-LLM: Automating Data Pre-processing for Intrusion Detection Systems using Large Language Models
Bao-Phong Nguyen, Gia-Khanh Pham, Thai-Duong Do +7
The increasing complexity and scale of modern cyber-attacks demand intelligent and computationally efficient Intrusion Detection Systems (IDS). However, designing effective data pr…
FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection
Van Tuan Nguyen, Razvan Beuran
This paper proposes a novel federated learning approach for improving IoT network intrusion detection. The rise of IoT has expanded the cyber attack surface, making traditional cen…
A Summary of the ALQAC 2021 Competition
Nguyen Ha Thanh, Bui Minh Quan, Chau Nguyen +13
We summarize the evaluation of the first Automated Legal Question Answering Competition (ALQAC 2021). The competition this year contains three tasks, which aims at processing the s…
Multiferroic van der Waals heterostructure FeCl/ScCO: Nonvolatile electrically switchable electronic and spintronic properties
Liemao Cao, Xiaohui Deng, Guanghui Zhou +4
Multiferroic van der Waals (vdW) heterostrucutres offers an exciting route towards novel nanoelectronics and spintronics device technology. Here we investigate the electronic and t…
Efficient Low-Latency Dynamic Licensing for Deep Neural Network Deployment on Edge Devices
Toan Pham Van, Ngoc N. Tran, Hoang Pham Minh +2
Along with the rapid development in the field of artificial intelligence, especially deep learning, deep neural network applications are becoming more and more popular in reality.…
Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning
Toan Pham Van, Tam Minh Nguyen, Ngoc N. Tran +4
With great progress in the development of Generative Adversarial Networks (GANs), in recent years, the quest for insights in understanding and manipulating the latent space of GAN…