Deep Neural Networks based Invisible Steganography for Audio-into-Image Algorithm. - Quang Pham Huu; Thoi Hoang Dinh; Ngoc N. Tran; Toan Pham Van; Ta Minh Thanh (GCCE, 2019)

Efficient Palm-Line Segmentation with U-Net Context Fusion Module. - Toan Pham Van; Son Trung Nguyen; Linh Doan Bao; Ngoc N. Tran; Ta Minh Thanh (ACOMP, 2020)

Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning. - Toan Pham Van; Tam Minh Nguyen; Ngoc N. Tran; Hoai Viet Nguyen; Linh Doan Bao; Huy Dao Quang; Thanh Ta Minh (ACOMP, 2020)

From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection. - Quang Pham Huu; Viet Anh Nguyen; Linh Doan Bao; Ngoc N. Tran; Ta Minh Thanh (KSE, 2020)

Deep Learning Approach for Singer Voice Classification of Vietnamese Popular Music. - Toan Pham Van; Ngoc N. Tran; Ta Minh Thanh (CoRR, 2021)

Efficient Low-Latency Dynamic Licensing for Deep Neural Network Deployment on Edge Devices. - Toan Pham Van; Ngoc N. Tran; Hoang Pham Minh; Tam Nguyen Minh; Thanh Ta Minh (CoRR, 2021)

ReINTEL Challenge 2020: A Comparative Study of Hybrid Deep Neural Network for Reliable Intelligence Identification on Vietnamese SNSs. - Hoang Viet Trinh; Tung Tien Bui; Tam Minh Nguyen; Huy Dao Quang; Quang Pham Huu; Ngoc N. Tran; Ta Minh Thanh (CoRR, 2021)

Improving Multi-task Learning via Seeking Task-based Flat Regions. - Hoang Phan; Lam Tran; Ngoc N. Tran; Nhat Ho; Dinh Q. Phung; Trung Le 001 (CoRR, 2022)

Multiple Perturbation Attack: Attack Pixelwise Under Different $ ell_p$-norms For Better Adversarial Performance. - Ngoc N. Tran; Anh Tuan Bui; Dinh Q. Phung; Trung Le 001 (CoRR, 2022)

Anti-DreamBooth: Protecting users from personalized text-to-image synthesis. - Thanh Van Le; Hao Phung; Thuan Hoang Nguyen; Quan Dao; Ngoc N. Tran; Anh Tuan Tran 001 (ICCV, 2023)

Sharpness & Shift-Aware Self-Supervised Learning. - Ngoc N. Tran; Son Duong; Hoang Phan; Tung Pham 001; Dinh Q. Phung; Trung Le 001 (CoRR, 2023)

Robust Contrastive Learning With Theory Guarantee. - Ngoc N. Tran; Lam Tran; Hoang Phan; Anh Tuan Bui; Tung Pham 001; Toan Tran 003; Dinh Q. Phung; Trung Le 001 (CoRR, 2023)

PBP: Post-training Backdoor Purification for Malware Classifiers. - Dung Thuy Nguyen; Ngoc N. Tran; Taylor T. Johnson; Kevin Leach (NDSS, 2025)

Improving Routing in Sparse Mixture of Experts with Graph of Tokens. - Tam Minh Nguyen; Ngoc N. Tran; Khai Nguyen; Richard G. Baraniuk (CoRR, 2025)