NhatHai Phan - RankMe

82 papers A* 10A 6B 5C 2Journal 44Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NOIR: Privacy-Preserving Generation of Code with Open-Source LLMs. CoRR Khoa Nguyen, Khiem Ton, NhatHai Phan, Issa Khalil, Khang Tran, Cristian Borcea, Ruoming Jin, Abdallah Khreishah, My T. Thai
2026	J	`jnl`	What Do AI Agents Talk About? Emergent Communication Structure in the First AI-Only Social Network. CoRR Taksch Dube, Jianfeng Zhu, NhatHai Phan, Ruoming Jin
2025	A	`conf`	A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning. ICDCS Phung Lai, Guanxiong Liu, NhatHai Phan, Issa Khalil, Abdallah Khreishah, Xintao Wu
2025	J	`jnl`	A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning. CoRR Phung Lai, Guanxiong Liu, NhatHai Phan, Issa Khalil, Abdallah Khreishah, Xintao Wu
2025	—	`conf`	FairDP: Achieving Fairness Certification with Differential Privacy. SaTML Khang Tran, Ferdinando Fioretto, Issa Khalil, My T. Thai, Linh Thi Xuan Phan, NhatHai Phan
2025	J	`jnl`	FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design. CoRR Mahmoud Nazzal, Khoa Nguyen, Deepak Vungarala, Ramtin Zand, Shaahin Angizi, NhatHai Phan, Abdallah Khreishah
2025	J	`jnl`	PRPO: Paragraph-level Policy Optimization for Vision-Language Deepfake Detection. CoRR Tuan Nguyen, Naseem Khan, Khang Tran, NhatHai Phan, Issa Khalil
2025	B	`conf`	SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning. IEEE Big Data Khoa Nguyen, Khang Tran, NhatHai Phan, Cristian Borcea, Ruoming Jin, Issa Khalil
2025	J	`jnl`	SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning. CoRR Khoa Nguyen, Khang Tran, NhatHai Phan, Cristian Borcea, Ruoming Jin, Issa Khalil
2025	J	`jnl`	STING: A Stealthy Backdoor Attack on GNN-Based Malicious Domain Detection via DNS Perturbations. IEEE Open J. Commun. Soc. Muhammad Anan, Mahmoud Nazzal, Abdallah Khreishah, Issa Khalil, NhatHai Phan, Ahmad Sawalmeh
2025	J	`jnl`	SoK: Are Watermarks in LLMs Ready for Deployment? CoRR Kieu Dang, Phung Lai, NhatHai Phan, Yelong Shen, Ruoming Jin, Abdallah Khreishah, My T. Thai
2025	J	`jnl`	ViGText: Deepfake Image Detection with Vision-Language Model Explanations and Graph Neural Networks. CoRR Ahmad Albarqawi, Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan
2025	J	`jnl`	Watermarking Degrades Alignment in Language Models: Analysis and Mitigation. CoRR Apurv Verma, NhatHai Phan, Shubhendu Trivedi
2025	J	`jnl`	δ-STEAL: LLM Stealing Attack with Local Differential Privacy. CoRR Kieu Dang, Phung Lai, NhatHai Phan, Yelong Shen, Ruoming Jin, Abdallah Khreishah
2024	A*	`conf`	Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. CCS Khiem Ton, Nhi Nguyen, Mahmoud Nazzal, Abdallah Khreishah, Cristian Borcea, NhatHai Phan, Ruoming Jin, Issa Khalil, Yelong Shen
2024	J	`jnl`	Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. CoRR Khiem Ton, Nhi Nguyen, Mahmoud Nazzal, Abdallah Khreishah, Cristian Borcea, NhatHai Phan, Ruoming Jin, Issa Khalil, Yelong Shen
2024	J	`jnl`	FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps. IEEE Trans. Mob. Comput. Xiaopeng Jiang, Han Hu, Thinh On, Phung Lai, Vijaya Datta Mayyuri, An M. Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan
2024	A*	`conf`	Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection. SP Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan, Yao Ma
2024	J	`jnl`	Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs). CoRR Apurv Verma, Satyapriya Krishna, Sebastian Gehrmann, Madhavan Seshadri, Anu Pradhan, Tom Ault, Leslie Barrett, David Rabinowitz, John A. Doucette, NhatHai Phan
2024	A*	`conf`	PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs). CCS Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan
2024	J	`jnl`	PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs). CoRR Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan
2023	A	`conf`	Active Membership Inference Attack under Local Differential Privacy in Federated Learning. AISTATS Truc D. T. Nguyen, Phung Lai, Khang Tran, NhatHai Phan, My T. Thai
2023	J	`jnl`	Active Membership Inference Attack under Local Differential Privacy in Federated Learning. CoRR Truc D. T. Nguyen, Phung Lai, Khang Tran, NhatHai Phan, My T. Thai
2023	A	`conf`	Differential Privacy in HyperNetworks for Personalized Federated Learning. CIKM Vaisnavi Nemala, Phung Lai, NhatHai Phan
2023	J	`jnl`	FairDP: Certified Fairness with Differential Privacy. CoRR Khang Tran, Ferdinando Fioretto, Issa Khalil, My T. Thai, NhatHai Phan
2023	J	`jnl`	Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection. CoRR Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan, Yao Ma
2023	A*	`conf`	Zone-based Federated Learning for Mobile Sensing Data. PERCOM Xiaopeng Jiang, Thinh On, NhatHai Phan, Hessamaldin Mohammadi, Vijaya Datta Mayyuri, An M. Chen, Ruoming Jin, Cristian Borcea
2023	J	`jnl`	Zone-based Federated Learning for Mobile Sensing Data. CoRR Xiaopeng Jiang, Thinh On, NhatHai Phan, Hessamaldin Mohammadi, Vijaya Datta Mayyuri, An M. Chen, Ruoming Jin, Cristian Borcea
2022	B	`conf`	Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks. IEEE Big Data Khang Tran, Phung Lai, NhatHai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My T. Thai, Xintao Wu
2022	J	`jnl`	Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks. CoRR Khang Tran, Phung Lai, NhatHai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My Tra Thai, Xintao Wu
2022	J	`jnl`	Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. CoRR Phung Lai, Han Hu, NhatHai Phan, Ruoming Jin, My T. Thai, An M. Chen
2022	J	`jnl`	Model Transferring Attacks to Backdoor HyperNetwork in Personalized Federated Learning. CoRR Phung Lai, NhatHai Phan, Abdallah Khreishah, Issa Khalil, Xintao Wu
2022	J	`jnl`	OnML: an ontology-based approach for interpretable machine learning. J. Comb. Optim. Pelin Ayranci, Phung Lai, NhatHai Phan, Han Hu, Alexander Kolinowski, David Newman, Deijing Dou
2022	—	`conf`	Un-Fair Trojan: Targeted Backdoor Attacks Against Model Fairness. SDS Nicholas Furth, Abdallah Khreishah, Guanxiong Liu, NhatHai Phan, Yaser Jararweh
2022	B	`conf`	User-Entity Differential Privacy in Learning Natural Language Models. IEEE Big Data Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios
2022	J	`jnl`	User-Entity Differential Privacy in Learning Natural Language Models. CoRR Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios
2022	J	`jnl`	XRand: Differentially Private Defense against Explanation-Guided Attacks. CoRR Truc D. T. Nguyen, Phung Lai, NhatHai Phan, My T. Thai
2021	—	`conf`	A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples. IEEE BigData Guanxiong Liu, Issa Khalil, Abdallah Khreishah, NhatHai Phan
2021	J	`jnl`	A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples. CoRR Guanxiong Liu, Issa Khalil, Abdallah Khreishah, NhatHai Phan
2021	—	`conf`	Continual Learning with Differential Privacy. ICONIP (6) Pradnya Desai, Phung Lai, NhatHai Phan, My T. Thai
2021	J	`jnl`	Continual Learning with Differential Privacy. CoRR Pradnya Desai, Phung Lai, NhatHai Phan, My T. Thai
2021	J	`jnl`	FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps. CoRR Han Hu, Xiaopeng Jiang, Vijaya Datta Mayyuri, An M. Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan
2021	—	`conf`	Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network. CSoNet NhatHai Phan, David Kil, Brigitte Piniewski, Dejing Dou
2021	—	`conf`	c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation. IEEE BigData Minh N. Vu, Truc D. T. Nguyen, NhatHai Phan, Ralucca Gera, My T. Thai
2020	—	`ed.`	Computational Data and Social Networks - 9th International Conference, CSoNet 2020, Dallas, TX, USA, December 11-13, 2020, Proceedings CSoNet Sriram Chellappan, Kim-Kwang Raymond Choo, NhatHai Phan
2020	B	`conf`	Ontology-based Interpretable Machine Learning for Textual Data. IJCNN Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou
2020	J	`jnl`	Ontology-based Interpretable Machine Learning for Textual Data. CoRR Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou
2020	A*	`conf`	Scalable Differential Privacy with Certified Robustness in Adversarial Learning. ICML NhatHai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou
2019	—	`conf`	An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere. MedInfo Han Hu, NhatHai Phan, James Geller, Stephen Iezzi, Huy T. Vo, Dejing Dou, Soon Ae Chun
2019	J	`jnl`	An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere. CoRR Han Hu, NhatHai Phan, James Geller, Stephen Iezzi, Huy T. Vo, Dejing Dou, Soon Ae Chun
2019	—	`conf`	DrugTracker: A Community-focused Drug Abuse Monitoring and Supporting System using Social Media and Geospatial Data (Demo Paper). SIGSPATIAL/GIS Han Hu, NhatHai Phan, Xinyue Ye, Ruoming Jin, Kele Ding, Dejing Dou, Huy T. Vo
2019	J	`jnl`	Evaluating Explainers via Perturbation. CoRR Minh N. Vu, Truc D. T. Nguyen, NhatHai Phan, Ralucca Gera, My T. Thai
2019	A	`conf`	Extracting API tips from developer question and answer websites. MSR Shaohua Wang, NhatHai Phan, Yan Wang, Yong Zhao
2019	A*	`conf`	Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. IJCAI NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai
2019	J	`jnl`	Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. CoRR NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai
2019	—	`conf`	Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention. CSoNet Ruoming Jin, Yelong Sheng, Lin Liu, Xue-wen Chen, NhatHai Phan
2019	J	`jnl`	Preserving Differential Privacy in Adversarial Learning with Provable Robustness. CoRR NhatHai Phan, Ruoming Jin, My T. Thai, Han Hu, Dejing Dou
2018	J	`jnl`	A 3D Atrous Convolutional Long Short-Term Memory Network for Background Subtraction. IEEE Access Zhihang Hu, Turki Turki, NhatHai Phan, Jason T. L. Wang
2018	—	`conf`	DPNE: Differentially Private Network Embedding. PAKDD (2) Depeng Xu, Shuhan Yuan, Xintao Wu, NhatHai Phan
2018	—	`conf`	Deep Self-Taught Learning for Detecting Drug Abuse Risk Behavior in Tweets. CSoNet Han Hu, NhatHai Phan, James Geller, Huy T. Vo, Manasi Bhole, Xueqi Huang, Sophie Di Lorio, Thang Dinh, Soon Ae Chun
2017	A*	`conf`	Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. ICDM NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou
2017	J	`jnl`	Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. CoRR NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou
2017	A*	`conf`	Enabling Real-Time Drug Abuse Detection in Tweets. ICDE NhatHai Phan, Soon Ae Chun, Manasi Bhole, James Geller
2017	A*	`conf`	Importance Sketching of Influence Dynamics in Billion-Scale Networks. ICDM Hung T. Nguyen, Tri P. Nguyen, NhatHai Phan, Thang N. Dinh
2017	J	`jnl`	Importance Sketching of Influence Dynamics in Billion-scale Networks. CoRR Hung T. Nguyen, Tri P. Nguyen, NhatHai Phan, Thang N. Dinh
2017	J	`jnl`	Ontology-based deep learning for human behavior prediction with explanations in health social networks. Inf. Sci. NhatHai Phan, Dejing Dou, Hao Wang, David Kil, Brigitte Piniewski
2017	J	`jnl`	Preserving Differential Privacy in Convolutional Deep Belief Networks. CoRR NhatHai Phan, Xintao Wu, Dejing Dou
2017	J	`jnl`	Preserving differential privacy in convolutional deep belief networks. Mach. Learn. NhatHai Phan, Xintao Wu, Dejing Dou
2017	C	`conf`	Time-Sensitive Behavior Prediction in a Health Social Network. ICMLA Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski
2016	J	`jnl`	A deep learning approach for human behavior prediction with explanations in health social networks: social restricted Boltzmann machine (SRBM+). Soc. Netw. Anal. Min. NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil
2016	J	`jnl`	All in One: Mining Multiple Movement Patterns. Int. J. Inf. Technol. Decis. Mak. NhatHai Phan, Pascal Poncelet, Maguelonne Teisseire
2016	—	`conf`	Characterizing Physical Activity in a Health Social Network. Digital Health Javid Ebrahimi, NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil
2016	A*	`conf`	Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction. AAAI NhatHai Phan, Yue Wang, Xintao Wu, Dejing Dou
2016	J	`jnl`	Dynamic socialized Gaussian process models for human behavior prediction in a health social network. Knowl. Inf. Syst. Yelong Shen, NhatHai Phan, Xiao Xiao, Ruoming Jin, Junfeng Sun, Brigitte Piniewski, David Kil, Dejing Dou
2016	C	`conf`	Interaction Network Representations for Human Behavior Prediction. ICMLA Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski
2016	J	`jnl`	Topic-Aware Physical Activity Propagation in a Health Social Network. IEEE Intell. Syst. NhatHai Phan, Javid Ebrahimi, David Kil, Brigitte Piniewski, Dejing Dou
2016	J	`jnl`	Topic-Aware Physical Activity Propagation with Temporal Dynamics in a Health Social Network. ACM Trans. Intell. Syst. Technol. NhatHai Phan, Javid Ebrahimi, David Kil, Brigitte Piniewski, Dejing Dou
2015	A	`conf`	Mining Multi-Relational Gradual Patterns. SDM NhatHai Phan, Dino Ienco, Donato Malerba, Pascal Poncelet, Maguelonne Teisseire
2015	—	`conf`	Ontology-based deep learning for human behavior prediction in health social networks. BCB NhatHai Phan, Dejing Dou, Hao Wang, David Kil, Brigitte Piniewski
2015	B	`conf`	Social Restricted Boltzmann Machine: Human Behavior Prediction in Health Social Networks. ASONAM NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil
2014	A	`conf`	Analysis of Physical Activity Propagation in a Health Social Network. CIKM NhatHai Phan, Dejing Dou, Xiao Xiao, Brigitte Piniewski, David Kil
2013	—	`—`	Mining Object Movement Patterns from Trajectory Data. (Une approche unifiée pour extraire des motifs à partir de données de trajectoires). NhatHai Phan