Machine-learning-constructed molecular potential and its application for exploring deep-lying-orbital effects in high-order harmonic generation
Published in Physical Review A (112), 2025
Publications
You can also find my articles on my Google Scholar profile.
Journal Articles
General characterization of partially oriented polar molecules by the time-frequency profile of high-order harmonic generation
Published in Physical Review A (102), 2020
Conference Papers
PRPO: Paragraph-level Policy Optimization for Vision-Language Deepfake Detection
Published in The 43th International Conference on Machine Learning, 2026
Authors
T. Nguyen, N. Khan, K. Tran, N.H. Phan, I. Khalil
Gradient Transformer: Learning to Generate Updates for LLMs
Published in The 43th International Conference on Machine Learning, 2026
Authors
N. Nguyen, K. Tran, I. Khalil, N.H. Phan (* Co-first author)
Poison with Style: A Practical Poisoning Attack on Code Large Language Models
Published in The 43th International Conference on Machine Learning, 2026
Authors
K. Tran, Y. Boshmaf, I. Khalil, N.H. Phan, T. Yu, M. Parvez,
Program Structure-aware Language Models: Targeted Software Testing beyond Textual Semantics
Published in The 64th Annual Meeting of the Association for Computational Linguistics, 2026
Authors
K. Tran, K. Nguyen, C. Borcea, N.H. Phan
NOIR: Privacy-Preserving Generation of Code with Open-Source LLMs
Published in The 35th USENIX Security Symposium, 2026
Authors
K. Nguyen*, K. Ton*, N.H. Phan, I. Khalil, K. Tran*, C. Borcea, R. Jin, A. Khreishah, M. Thai (* Equal Contribution)
SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning
Published in IEEE International Conference on Big Data (BigData), 2025
Authors
K. Nguyen*, K. Tran*, N.H. Phan, C. Borcea, R. Jin, I. Khalil (* Co-first authors)
LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models
Published in The 34th USENIX Security Symposium, 2025
Authors
A. Lekssays, H. Mouhcine, K. Tran, T. Yu, I. Khalil
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning
Published in The 21st Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2025
Authors
P. Lai, X. Jiang, N.H. Phan, C. Borcea, K. Tran, A. Chen, V.D. Mayyuri, R. Jin,
FairDP: Achieving Fairness Certification with Differential Privacy
Published in IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2025
Authors
K. Tran, F. Fioretto, I. Khalil, M. Thai, T.X.L. Phan N.H. Phan
Active Membership Inference Attack under Local Differential Privacy in Federated Learning
Published in Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, 2023
Authors
T. Nguyen, P. Lai, K. Tran, N.H. Phan, M. Thai,
Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks
Published in IEEE International Conference on Big Data (BigData), 2022
Authors
K. Tran, P. Lai, N.H. Phan, I. Khalil, Y. Ma, A. Khreishah, M. Thai, X. Wu
Toward deep and handcraft features for detecting violent behaviors
Published in National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS), 2019
Authors
K. Tran, D. Nguyen, H. Nguyen
A spontaneous visible and thermal facial expression of human emotion database
Published in National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS), 2019
Authors
N. Nguyen, T. Nguyen, K. Tran, T. Luong, D. Nguyen, N. Vuong, P. Siritanawan, N. Tran, L. Nguyen, K. Kotani, H. Nguyen, L. Huynh, H. Ho
Towards thermal region of interest for human emotion estimation
Published in International Conference on Knowledge and Systems Engineering (KSE), 2018
Authors
T. Nguyen, K. Tran, H. Nguyen