NhatHai Phan

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 57

Top Venues

Montpellier 2 University, France (PHD)

Education History

Montpellier 2 University, France

PHD

Publications

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
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps. IEEE Trans. Mob. Comput. 23 (1) (2024)
Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan, Yao Ma
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection. CoRR (2023)
Xiaopeng Jiang, Thinh On, NhatHai Phan, Hessamaldin Mohammadi, Vijaya Datta Mayyuri, An M. Chen, Ruoming Jin, Cristian Borcea
Zone-based Federated Learning for Mobile Sensing Data. PERCOM (2023)
Vaisnavi Nemala, Phung Lai, NhatHai Phan
Differential Privacy in HyperNetworks for Personalized Federated Learning. CIKM (2023)
Truc D. T. Nguyen, Phung Lai, Khang Tran, NhatHai Phan, My T. Thai
Active Membership Inference Attack under Local Differential Privacy in Federated Learning. AISTATS (2023)
Truc D. T. Nguyen, Phung Lai, Khang Tran, NhatHai Phan, My T. Thai
Active Membership Inference Attack under Local Differential Privacy in Federated Learning. CoRR (2023)
Xiaopeng Jiang, Thinh On, NhatHai Phan, Hessamaldin Mohammadi, Vijaya Datta Mayyuri, An M. Chen, Ruoming Jin, Cristian Borcea
Zone-based Federated Learning for Mobile Sensing Data. CoRR (2023)
Khang Tran, Ferdinando Fioretto, Issa Khalil, My T. Thai, NhatHai Phan
FairDP: Certified Fairness with Differential Privacy. CoRR (2023)
Khang Tran, Phung Lai, NhatHai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My Tra Thai, Xintao Wu
Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks. CoRR (2022)
Phung Lai, Han Hu, NhatHai Phan, Ruoming Jin, My T. Thai, An M. Chen
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. CoRR (2022)
Nicholas Furth, Abdallah Khreishah, Guanxiong Liu, NhatHai Phan, Yaser Jararweh
Un-Fair Trojan: Targeted Backdoor Attacks Against Model Fairness. SDS (2022)
Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios
User-Entity Differential Privacy in Learning Natural Language Models. Big Data (2022)
Khang Tran, Phung Lai, NhatHai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My T. Thai, Xintao Wu
Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks. Big Data (2022)
Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios
User-Entity Differential Privacy in Learning Natural Language Models. CoRR (2022)
Pelin Ayranci, Phung Lai, NhatHai Phan, Han Hu, Alexander Kolinowski, David Newman, Deijing Dou
OnML: an ontology-based approach for interpretable machine learning. J. Comb. Optim. 44 (1) (2022)
Truc D. T. Nguyen, Phung Lai, NhatHai Phan, My T. Thai
XRand: Differentially Private Defense against Explanation-Guided Attacks. CoRR (2022)
Phung Lai, NhatHai Phan, Abdallah Khreishah, Issa Khalil, Xintao Wu
Model Transferring Attacks to Backdoor HyperNetwork in Personalized Federated Learning. CoRR (2022)
Minh N. Vu, Truc D. T. Nguyen, NhatHai Phan, Ralucca Gera, My T. Thai
c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation. IEEE BigData (2021)
Guanxiong Liu, Issa Khalil, Abdallah Khreishah, NhatHai Phan
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples. IEEE BigData (2021)
Guanxiong Liu, Issa Khalil, Abdallah Khreishah, NhatHai Phan
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples. CoRR (2021)
Pradnya Desai, Phung Lai, NhatHai Phan, My T. Thai
Continual Learning with Differential Privacy. ICONIP (6) (2021)
Pradnya Desai, Phung Lai, NhatHai Phan, My T. Thai
Continual Learning with Differential Privacy. CoRR (2021)
NhatHai Phan, David Kil, Brigitte Piniewski, Dejing Dou
Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network. CSoNet (2021)
Han Hu, Xiaopeng Jiang, Vijaya Datta Mayyuri, An Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps. CoRR (2021)
Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou
Ontology-based Interpretable Machine Learning for Textual Data. IJCNN (2020)
Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou
Ontology-based Interpretable Machine Learning for Textual Data. CoRR (2020)
Han Hu, NhatHai Phan, Xinyue Ye, Ruoming Jin, Kele Ding, Dejing Dou, Huy T. Vo
DrugTracker: A Community-focused Drug Abuse Monitoring and Supporting System using Social Media and Geospatial Data (Demo Paper). SIGSPATIAL/GIS (2019)
NhatHai Phan, Ruoming Jin, My T. Thai, Han Hu, Dejing Dou
Preserving Differential Privacy in Adversarial Learning with Provable Robustness. CoRR (2019)
Minh N. Vu, Truc D. T. Nguyen, NhatHai Phan, Ralucca Gera, My T. Thai
Evaluating Explainers via Perturbation. CoRR (2019)
Han Hu, NhatHai Phan, James Geller, Stephen Iezzi, Huy T. Vo, Dejing Dou, Soon Ae Chun
An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere. MedInfo (2019)
NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. CoRR (2019)
NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. IJCAI (2019)
Ruoming Jin, Yelong Sheng, Lin Liu, Xue-wen Chen, NhatHai Phan
Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention. CSoNet (2019)
Han Hu, NhatHai Phan, James Geller, Stephen Iezzi, Huy T. Vo, Dejing Dou, Soon Ae Chun
An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere. CoRR (2019)
Shaohua Wang, NhatHai Phan, Yan Wang, Yong Zhao
Extracting API tips from developer question and answer websites. MSR (2019)
Han Hu, NhatHai Phan, James Geller, Huy T. Vo, Manasi Bhole, Xueqi Huang, Sophie Di Lorio, Thang Dinh, Soon Ae Chun
Deep Self-Taught Learning for Detecting Drug Abuse Risk Behavior in Tweets. CSoNet (2018)
Zhihang Hu, Turki Turki, NhatHai Phan, Jason T. L. Wang
A 3D Atrous Convolutional Long Short-Term Memory Network for Background Subtraction. IEEE Access 6 (2018)
NhatHai Phan, Xintao Wu, Dejing Dou
Preserving Differential Privacy in Convolutional Deep Belief Networks. CoRR (2017)
NhatHai Phan, Soon Ae Chun, Manasi Bhole, James Geller
Enabling Real-Time Drug Abuse Detection in Tweets. ICDE (2017)
NhatHai Phan, Xintao Wu, Dejing Dou
Preserving differential privacy in convolutional deep belief networks. Mach. Learn. 106 (9-10) (2017)
NhatHai Phan, Dejing Dou, Hao Wang, David Kil, Brigitte Piniewski
Ontology-based deep learning for human behavior prediction with explanations in health social networks. Inf. Sci. 384 (2017)
Hung T. Nguyen, Tri P. Nguyen, NhatHai Phan, Thang N. Dinh
Importance Sketching of Influence Dynamics in Billion-Scale Networks. ICDM (2017)
Hung T. Nguyen, Tri P. Nguyen, NhatHai Phan, Thang N. Dinh
Importance Sketching of Influence Dynamics in Billion-scale Networks. CoRR (2017)
Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski
Time-Sensitive Behavior Prediction in a Health Social Network. ICMLA (2017)
NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. ICDM (2017)
NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. CoRR (2017)
Yelong Shen, NhatHai Phan, Xiao Xiao, Ruoming Jin, Junfeng Sun, Brigitte Piniewski, David Kil, Dejing Dou
Dynamic socialized Gaussian process models for human behavior prediction in a health social network. Knowl. Inf. Syst. 49 (2) (2016)
NhatHai Phan, Yue Wang, Xintao Wu, Dejing Dou
Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction. AAAI (2016)
Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski
Interaction Network Representations for Human Behavior Prediction. ICMLA (2016)
NhatHai Phan, Pascal Poncelet, Maguelonne Teisseire
All in One: Mining Multiple Movement Patterns. Int. J. Inf. Technol. Decis. Mak. 15 (5) (2016)
NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil
A deep learning approach for human behavior prediction with explanations in health social networks: social restricted Boltzmann machine (SRBM+). Soc. Netw. Anal. Min. 6 (1) (2016)
Javid Ebrahimi, NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil
Characterizing Physical Activity in a Health Social Network. Digital Health (2016)
NhatHai Phan, Javid Ebrahimi, David Kil, Brigitte Piniewski, Dejing Dou
Topic-Aware Physical Activity Propagation with Temporal Dynamics in a Health Social Network. ACM Trans. Intell. Syst. Technol. 8 (1) (2016)
NhatHai Phan, Javid Ebrahimi, David Kil, Brigitte Piniewski, Dejing Dou
Topic-Aware Physical Activity Propagation in a Health Social Network. IEEE Intell. Syst. 31 (1) (2016)
NhatHai Phan, Dino Ienco, Donato Malerba, Pascal Poncelet, Maguelonne Teisseire
Mining Multi-Relational Gradual Patterns. SDM (2015)
NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil
Social Restricted Boltzmann Machine: Human Behavior Prediction in Health Social Networks. ASONAM (2015)
NhatHai Phan, Dejing Dou, Hao Wang, David Kil, Brigitte Piniewski
Ontology-based deep learning for human behavior prediction in health social networks. BCB (2015)
NhatHai Phan, Dejing Dou, Xiao Xiao, Brigitte Piniewski, David Kil
Analysis of Physical Activity Propagation in a Health Social Network. CIKM (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

NhatHai Phan