| 2026 | NDSS | ViGText: Deepfake Image Detection with Vision-Language Model Explanations and Graph Neural Networks. | Ahmad Albarqawi, Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan |
| 2026 | VTS | Closing the Loop in LLM-Based Hardware Generation: An Autonomous Agentic Workflow for Robust TPU Design. | Deepak Vungarala, Kartik Pandit, Gamana Aragonda, Jeremy McLynch, Adeola Adeoye-Davids, Bryan Galecio, NhatHai Phan, Abdallah Khreishah, Ramtin Zand, Arnob Ghosh, Shaahin Angizi |
| 2025 | ICDCS | A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning. | Phung Lai, Guanxiong Liu, NhatHai Phan, Issa Khalil, Abdallah Khreishah, Xintao Wu |
| 2024 | CCS | PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs). | Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan |
| 2024 | CCS | Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. | Khiem Ton, Nhi Nguyen, Mahmoud Nazzal, Abdallah Khreishah, Cristian Borcea, NhatHai Phan, Ruoming Jin, Issa Khalil, Yelong Shen |
| 2024 | SP | Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection. | Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan, Yao Ma |
| 2023 | AISTATS | Active Membership Inference Attack under Local Differential Privacy in Federated Learning. | Truc D. T. Nguyen, Phung Lai, Khang Tran, NhatHai Phan, My T. Thai |
| 2023 | CIKM | Differential Privacy in HyperNetworks for Personalized Federated Learning. | Vaisnavi Nemala, Phung Lai, NhatHai Phan |
| 2023 | PERCOM | Zone-based Federated Learning for Mobile Sensing Data. | Xiaopeng Jiang, Thinh On, NhatHai Phan, Hessamaldin Mohammadi, Vijaya Datta Mayyuri, An M. Chen, Ruoming Jin, Cristian Borcea |
| 2021 | ICONIP | Continual Learning with Differential Privacy. | Pradnya Desai, Phung Lai, NhatHai Phan, My T. Thai |
| 2020 | ICML | Scalable Differential Privacy with Certified Robustness in Adversarial Learning. | NhatHai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou |
| 2020 | IJCNN | Ontology-based Interpretable Machine Learning for Textual Data. | Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou |
| 2019 | IJCAI | Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. | NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai |
| 2019 | MSR | Extracting API tips from developer question and answer websites. | Shaohua Wang, NhatHai Phan, Yan Wang, Yong Zhao |
| 2018 | PAKDD | DPNE: Differentially Private Network Embedding. | Depeng Xu, Shuhan Yuan, Xintao Wu, NhatHai Phan |
| 2017 | ICDE | Enabling Real-Time Drug Abuse Detection in Tweets. | NhatHai Phan, Soon Ae Chun, Manasi Bhole, James Geller |
| 2017 | ICDM | Importance Sketching of Influence Dynamics in Billion-Scale Networks. | Hung T. Nguyen, Tri P. Nguyen, NhatHai Phan, Thang N. Dinh |
| 2017 | ICDM | Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. | NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou |
| 2017 | ICMLA | Time-Sensitive Behavior Prediction in a Health Social Network. | Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski |
| 2016 | AAAI | Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction. | NhatHai Phan, Yue Wang, Xintao Wu, Dejing Dou |
| 2016 | ICMLA | Interaction Network Representations for Human Behavior Prediction. | Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski |
| 2015 | SDM | Mining Multi-Relational Gradual Patterns. | NhatHai Phan, Dino Ienco, Donato Malerba, Pascal Poncelet, Maguelonne Teisseire |
| 2014 | CIKM | Analysis of Physical Activity Propagation in a Health Social Network. | NhatHai Phan, Dejing Dou, Xiao Xiao, Brigitte Piniewski, David Kil |