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ORCIDNhatHai Phan
Phan Nhat Hai – Hai Phan 0001
Person information
- affiliation: New Jersey Institute of Technology, Newark, USA
- affiliation (former): IRSTEA Montpellier, France
Other persons with the same name
- Hai Phan — disambiguation page
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2020 – today
- 2024
[j12]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): 501-519 (2024)- [c50]Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan:
PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs). CCS 2024: 2266-2280 - [c49]Khiem Ton, Nhi Nguyen, Mahmoud Nazzal, Abdallah Khreishah, Cristian Borcea, NhatHai Phan, Ruoming Jin, Issa Khalil, Yelong Shen:
Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. CCS 2024: 5078-5080 - [c48]Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan, Yao Ma:
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection. SP 2024: 1236-1254 - [i26]Apurv Verma, Satyapriya Krishna, Sebastian Gehrmann, Madhavan Seshadri, Anu Pradhan, Tom Ault, Leslie Barrett, David Rabinowitz, John A. Doucette, NhatHai Phan:
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs). CoRR abs/2407.14937 (2024) - [i25]Khiem Ton, Nhi Nguyen, Mahmoud Nazzal, Abdallah Khreishah, Cristian Borcea, NhatHai Phan, Ruoming Jin, Issa Khalil, Yelong Shen:
Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. CoRR abs/2409.07368 (2024) - [i24]Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan:
PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs). CoRR abs/2409.12699 (2024) - 2023
- [c47]Truc D. T. Nguyen, Phung Lai, Hai Phan, My T. Thai:
XRand: Differentially Private Defense against Explanation-Guided Attacks. AAAI 2023: 11873-11881 - [c46]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: 5714-5730 - [c45]Vaisnavi Nemala, Phung Lai, NhatHai Phan:
Differential Privacy in HyperNetworks for Personalized Federated Learning. CIKM 2023: 4224-4228 - [c44]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: 141-148 - [i23]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 abs/2302.12685 (2023) - [i22]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 abs/2303.06246 (2023) - [i21]Khang Tran, Ferdinando Fioretto, Issa Khalil, My T. Thai, NhatHai Phan:
FairDP: Certified Fairness with Differential Privacy. CoRR abs/2305.16474 (2023) - [i20]Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan, Yao Ma:
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection. CoRR abs/2308.11754 (2023) - 2022
- [j11]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): 770-793 (2022) - [c43]Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios:
User-Entity Differential Privacy in Learning Natural Language Models. IEEE Big Data 2022: 1465-1474 - [c42]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. IEEE Big Data 2022: 1582-1587 - [c41]Phung Lai, Han Hu, Hai Phan, Ruoming Jin, My T. Thai, An M. Chen:
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. CoLLAs 2022: 778-797 - [c40]Nicholas Furth, Abdallah Khreishah, Guanxiong Liu, NhatHai Phan, Yaser Jararweh:
Un-Fair Trojan: Targeted Backdoor Attacks Against Model Fairness. SDS 2022: 1-9 - [i19]Phung Lai, NhatHai Phan, Abdallah Khreishah, Issa Khalil, Xintao Wu:
Model Transferring Attacks to Backdoor HyperNetwork in Personalized Federated Learning. CoRR abs/2201.07063 (2022) - [i18]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 abs/2207.12831 (2022) - [i17]Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios:
User-Entity Differential Privacy in Learning Natural Language Models. CoRR abs/2211.01141 (2022) - [i16]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 abs/2211.05766 (2022) - [i15]Truc D. T. Nguyen, Phung Lai, NhatHai Phan, My T. Thai:
XRand: Differentially Private Defense against Explanation-Guided Attacks. CoRR abs/2212.04454 (2022) - 2021
- [c39]Guanxiong Liu, Issa Khalil, Abdallah Khreishah, NhatHai Phan:
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples. IEEE BigData 2021: 834-846 - [c38]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: 927-937 - [c37]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: 184-196 - [c36]Pradnya Desai, Phung Lai, NhatHai Phan, My T. Thai:
Continual Learning with Differential Privacy. ICONIP (6) 2021: 334-343 - [i14]Guanxiong Liu, Issa Khalil, Abdallah Khreishah, NhatHai Phan:
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples. CoRR abs/2109.01275 (2021) - [i13]Pradnya Desai, Phung Lai, NhatHai Phan, My T. Thai:
Continual Learning with Differential Privacy. CoRR abs/2110.05223 (2021) - [i12]Han Hu, Xiaopeng Jiang, 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. CoRR abs/2111.09445 (2021) - 2020
- [j10]Shaobo Liu, Frank Y. Shih, Gareth Russell, Kimberly Russell, Hai Phan:
Classification of Ecological Data by Deep Learning. Int. J. Pattern Recognit. Artif. Intell. 34(13): 2052010:1-2052010:20 (2020) - [c35]Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen:
Binarizing MobileNet via Evolution-Based Searching. CVPR 2020: 13417-13426 - [c34]NhatHai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou:
Scalable Differential Privacy with Certified Robustness in Adversarial Learning. ICML 2020: 7683-7694 - [c33]Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou:
Ontology-based Interpretable Machine Learning for Textual Data. IJCNN 2020: 1-10 - [c32]Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen:
MoBiNet: A Mobile Binary Network for Image Classification. WACV 2020: 3442-3451 - [e1]Sriram Chellappan, Kim-Kwang Raymond Choo, NhatHai Phan:
Computational Data and Social Networks - 9th International Conference, CSoNet 2020, Dallas, TX, USA, December 11-13, 2020, Proceedings. Lecture Notes in Computer Science 12575, Springer 2020, ISBN 978-3-030-66045-1 [contents] - [i11]Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou:
Ontology-based Interpretable Machine Learning for Textual Data. CoRR abs/2004.00204 (2020) - [i10]Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen:
Binarizing MobileNet via Evolution-based Searching. CoRR abs/2005.06305 (2020)
2010 – 2019
- 2019
- [c31]Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides:
Improving Object Detection from Scratch via Gated Feature Reuse. BMVC 2019: 247 - [c30]Wuji Liu, Xinyue Ye, Hai Phan, Han Hu:
Scalable Self-taught Deep-Embedded Learning Framework for Drug Abuse Spatial Behaviors Detection. CSoNet 2019: 223-228 - [c29]Ruoming Jin, Yelong Sheng, Lin Liu, Xue-wen Chen, NhatHai Phan:
Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention. CSoNet 2019: 229-245 - [c28]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: 564-567 - [c27]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: 4753-4759 - [c26]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: 163-167 - [c25]Shaohua Wang, NhatHai Phan, Yan Wang, Yong Zhao:
Extracting API tips from developer question and answer websites. MSR 2019: 321-332 - [i9]NhatHai Phan, Ruoming Jin, My T. Thai, Han Hu, Dejing Dou:
Preserving Differential Privacy in Adversarial Learning with Provable Robustness. CoRR abs/1903.09822 (2019) - [i8]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 abs/1904.02062 (2019) - [i7]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 abs/1906.01444 (2019) - [i6]Minh N. Vu, Truc D. T. Nguyen, NhatHai Phan, Ralucca Gera, My T. Thai:
Evaluating Explainers via Perturbation. CoRR abs/1906.02032 (2019) - [i5]Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen:
MoBiNet: A Mobile Binary Network for Image Classification. CoRR abs/1907.12629 (2019) - 2018
- [j9]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: 43450-43459 (2018) - [c24]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: 330-342 - [c23]Han Hu, Pranavi Moturu, Kannan Dharan, James Geller, Sophie Iorio, Hai Phan, Huy T. Vo, Soon Ae Chun:
Deep Learning Model for Classifying Drug Abuse Risk Behavior in Tweets. ICHI 2018: 386-387 - [c22]Yixin Fang, Ruoming Jin, Wei Xiong, Xiaoning Qian, Dejing Dou, Hai Phan:
Recursive Structure Similarity: A Novel Algorithm for Graph Clustering. ICTAI 2018: 395-400 - [c21]Depeng Xu, Shuhan Yuan, Xintao Wu, NhatHai Phan:
DPNE: Differentially Private Network Embedding. PAKDD (2) 2018: 235-246 - 2017
- [j8]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: 298-313 (2017) - [j7]NhatHai Phan, Xintao Wu, Dejing Dou:
Preserving differential privacy in convolutional deep belief networks. Mach. Learn. 106(9-10): 1681-1704 (2017) - [c20]NhatHai Phan, Soon Ae Chun, Manasi Bhole, James Geller:
Enabling Real-Time Drug Abuse Detection in Tweets. ICDE 2017: 1510-1514 - [c19]Hung T. Nguyen, Tri P. Nguyen, NhatHai Phan, Thang N. Dinh:
Importance Sketching of Influence Dynamics in Billion-Scale Networks. ICDM 2017: 337-346 - [c18]NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou:
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. ICDM 2017: 385-394 - [c17]Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski:
Time-Sensitive Behavior Prediction in a Health Social Network. ICMLA 2017: 1083-1088 - [i4]NhatHai Phan, Xintao Wu, Dejing Dou:
Preserving Differential Privacy in Convolutional Deep Belief Networks. CoRR abs/1706.08839 (2017) - [i3]Hung T. Nguyen, Tri P. Nguyen, NhatHai Phan, Thang N. Dinh:
Importance Sketching of Influence Dynamics in Billion-scale Networks. CoRR abs/1709.03565 (2017) - [i2]NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou:
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. CoRR abs/1709.05750 (2017) - 2016
- [j6]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): 5-14 (2016) - [j5]NhatHai Phan, Pascal Poncelet, Maguelonne Teisseire:
All in One: Mining Multiple Movement Patterns. Int. J. Inf. Technol. Decis. Mak. 15(5): 1115-1156 (2016) - [j4]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): 455-479 (2016) - [j3]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): 79:1-79:14 (2016) - [j2]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): 2:1-2:20 (2016) - [c16]NhatHai Phan, Yue Wang, Xintao Wu, Dejing Dou:
Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction. AAAI 2016: 1309-1316 - [c15]Javid Ebrahimi, NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil:
Characterizing Physical Activity in a Health Social Network. Digital Health 2016: 123-129 - [c14]Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski:
Interaction Network Representations for Human Behavior Prediction. ICMLA 2016: 87-93 - 2015
- [c13]NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil:
Social Restricted Boltzmann Machine: Human Behavior Prediction in Health Social Networks. ASONAM 2015: 424-431 - [c12]NhatHai Phan, Dejing Dou, Hao Wang, David Kil, Brigitte Piniewski:
Ontology-based deep learning for human behavior prediction in health social networks. BCB 2015: 433-442 - [c11]NhatHai Phan, Dino Ienco, Donato Malerba, Pascal Poncelet, Maguelonne Teisseire:
Mining Multi-Relational Gradual Patterns. SDM 2015: 846-854 - 2014
- [c10]NhatHai Phan, Dejing Dou, Xiao Xiao, Brigitte Piniewski, David Kil:
Analysis of Physical Activity Propagation in a Health Social Network. CIKM 2014: 1329-1338 - 2013
- [b1]NhatHai Phan:
Mining Object Movement Patterns from Trajectory Data. (Une approche unifiée pour extraire des motifs à partir de données de trajectoires). Montpellier 2 University, France, 2013 - [j1]Phan Nhat Hai, Pascal Poncelet, Maguelonne Teisseire:
Get_Move : fouille de données d'objets mobiles. Ingénierie des Systèmes d Inf. 18(4): 145-169 (2013) - [c9]Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire:
Mining Representative Movement Patterns through Compression. PAKDD (1) 2013: 314-326 - 2012
- [c8]Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire:
Mining Fuzzy Moving Object Clusters. ADMA 2012: 100-114 - [c7]Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire:
Mining time relaxed gradual moving object clusters. SIGSPATIAL/GIS 2012: 478-481 - [c6]Phan Nhat Hai, Pascal Poncelet, Maguelonne Teisseire:
GeT_Move: An Efficient and Unifying Spatio-temporal Pattern Mining Algorithm for Moving Objects. IDA 2012: 276-288 - [c5]Flavien Bouillot, Phan Nhat Hai, Nicolas Béchet, Sandra Bringay, Dino Ienco, Stan Matwin, Pascal Poncelet, Mathieu Roche, Maguelonne Teisseire:
How to Extract Relevant Knowledge from Tweets? ISIP 2012: 111-120 - [c4]Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire:
Extracting Trajectories through an Efficient and Unifying Spatio-temporal Pattern Mining System. ECML/PKDD (2) 2012: 820-823 - [i1]Phan Nhat Hai, Pascal Poncelet, Maguelonne Teisseire:
GeT_Move: An Efficient and Unifying Spatio-Temporal Pattern Mining Algorithm for Moving Objects. CoRR abs/1204.0864 (2012) - 2011
- [c3]Phan Nhat Hai, Pascal Poncelet, Maguelonne Teisseire:
Moving objects: Combining gradual rules and spatio-temporal patterns. ICSDM 2011: 131-136 - 2010
- [c2]Phan Nhat Hai, Hyoseop Shin:
Effective Clustering of Dense and Concentrated Online Communities. APWeb 2010: 133-139 - [c1]Phan Nhat Hai, Van Duc Thong Hoang, Hyoseop Shin:
Adaptive combination of tag and link-based user similarity in flickr. ACM Multimedia 2010: 675-678
Coauthor Index
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