NhatHai Phan

Orcid: 0000-0002-1032-8275

Affiliations:
  • New Jersey Institute of Technology, Newark, USA
  • IRSTEA Montpellier, France (former)


According to our database1, NhatHai Phan authored at least 69 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps.
IEEE Trans. Mob. Comput., January, 2024

Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs).
CoRR, 2024

Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs).
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
FairDP: Certified Fairness with Differential Privacy.
CoRR, 2023

Zone-based Federated Learning for Mobile Sensing Data.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2023

Differential Privacy in HyperNetworks for Personalized Federated Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Active Membership Inference Attack under Local Differential Privacy in Federated Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

XRand: Differentially Private Defense against Explanation-Guided Attacks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
OnML: an ontology-based approach for interpretable machine learning.
J. Comb. Optim., 2022

Model Transferring Attacks to Backdoor HyperNetwork in Personalized Federated Learning.
CoRR, 2022

Un-Fair Trojan: Targeted Backdoor Attacks Against Model Fairness.
Proceedings of the Ninth International Conference on Software Defined Systems, 2022

Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2022

User-Entity Differential Privacy in Learning Natural Language Models.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps.
CoRR, 2021

Continual Learning with Differential Privacy.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network.
Proceedings of the Computational Data and Social Networks - 10th International Conference, 2021

c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Classification of Ecological Data by Deep Learning.
Int. J. Pattern Recognit. Artif. Intell., 2020

MoBiNet: A Mobile Binary Network for Image Classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Ontology-based Interpretable Machine Learning for Textual Data.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Scalable Differential Privacy with Certified Robustness in Adversarial Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Binarizing MobileNet via Evolution-Based Searching.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Evaluating Explainers via Perturbation.
CoRR, 2019

Preserving Differential Privacy in Adversarial Learning with Provable Robustness.
CoRR, 2019

Extracting API tips from developer question and answer websites.
Proceedings of the 16th International Conference on Mining Software Repositories, 2019

An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DrugTracker: A Community-focused Drug Abuse Monitoring and Supporting System using Social Media and Geospatial Data (Demo Paper).
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Scalable Self-taught Deep-Embedded Learning Framework for Drug Abuse Spatial Behaviors Detection.
Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention.
Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

Improving Object Detection from Scratch via Gated Feature Reuse.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
A 3D Atrous Convolutional Long Short-Term Memory Network for Background Subtraction.
IEEE Access, 2018

DPNE: Differentially Private Network Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Recursive Structure Similarity: A Novel Algorithm for Graph Clustering.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Deep Learning Model for Classifying Drug Abuse Risk Behavior in Tweets.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Deep Self-Taught Learning for Detecting Drug Abuse Risk Behavior in Tweets.
Proceedings of the Computational Data and Social Networks - 7th International Conference, 2018

2017
Preserving differential privacy in convolutional deep belief networks.
Mach. Learn., 2017

Ontology-based deep learning for human behavior prediction with explanations in health social networks.
Inf. Sci., 2017

Time-Sensitive Behavior Prediction in a Health Social Network.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Importance Sketching of Influence Dynamics in Billion-Scale Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Enabling Real-Time Drug Abuse Detection in Tweets.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Topic-Aware Physical Activity Propagation with Temporal Dynamics in a Health Social Network.
ACM Trans. Intell. Syst. Technol., 2016

A deep learning approach for human behavior prediction with explanations in health social networks: social restricted Boltzmann machine (SRBM+).
Soc. Netw. Anal. Min., 2016

Dynamic socialized Gaussian process models for human behavior prediction in a health social network.
Knowl. Inf. Syst., 2016

All in One: Mining Multiple Movement Patterns.
Int. J. Inf. Technol. Decis. Mak., 2016

Topic-Aware Physical Activity Propagation in a Health Social Network.
IEEE Intell. Syst., 2016

Interaction Network Representations for Human Behavior Prediction.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Characterizing Physical Activity in a Health Social Network.
Proceedings of the 6th International Conference on Digital Health Conference, 2016

Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Mining Multi-Relational Gradual Patterns.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Ontology-based deep learning for human behavior prediction in health social networks.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

Social Restricted Boltzmann Machine: Human Behavior Prediction in Health Social Networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Analysis of Physical Activity Propagation in a Health Social Network.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Mining Object Movement Patterns from Trajectory Data. (Une approche unifiée pour extraire des motifs à partir de données de trajectoires).
PhD thesis, 2013

Get_Move : fouille de données d'objets mobiles.
Ingénierie des Systèmes d Inf., 2013

Mining Representative Movement Patterns through Compression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012
Extracting Trajectories through an Efficient and Unifying Spatio-temporal Pattern Mining System.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

How to Extract Relevant Knowledge from Tweets?
Proceedings of the Information Search, Integration and Personalization, 2012

GeT_Move: An Efficient and Unifying Spatio-temporal Pattern Mining Algorithm for Moving Objects.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Mining time relaxed gradual moving object clusters.
Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012

Mining Fuzzy Moving Object Clusters.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011
Moving objects: Combining gradual rules and spatio-temporal patterns.
Proceedings of the IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011

2010
Adaptive combination of tag and link-based user similarity in flickr.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Effective Clustering of Dense and Concentrated Online Communities.
Proceedings of the Advances in Web Technologies and Applications, 2010


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