NhatHai Phan

Hessamaldin Mohammadi

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2023

Differential Privacy in HyperNetworks for Personalized Federated Learning.

[BibT_eX]

[DOI]

Vaisnavi Nemala

Phung Lai

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Active Membership Inference Attack under Local Differential Privacy in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

OnML: an ontology-based approach for interpretable machine learning.

[BibT_eX]

[DOI]

J. Comb. Optim., 2022

XRand: Differentially Private Defense against Explanation-Guided Attacks.

[BibT_eX]

[DOI]

CoRR, 2022

Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Model Transferring Attacks to Backdoor HyperNetwork in Personalized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Un-Fair Trojan: Targeted Backdoor Attacks Against Model Fairness.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Software Defined Systems, 2022

Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

User-Entity Differential Privacy in Learning Natural Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Continual Learning with Differential Privacy.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computational Data and Social Networks - 10th International Conference, 2021

c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Classification of Ecological Data by Deep Learning.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2020

Ontology-based Interpretable Machine Learning for Textual Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Scalable Differential Privacy with Certified Robustness in Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Evaluating Explainers via Perturbation.

[BibT_eX]

[DOI]

CoRR, 2019

Preserving Differential Privacy in Adversarial Learning with Provable Robustness.

[BibT_eX]

[DOI]

CoRR, 2019

Extracting API tips from developer question and answer websites.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Mining Software Repositories, 2019

An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention.

[BibT_eX]

[DOI]

Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

Improving Object Detection from Scratch via Gated Feature Reuse.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

A 3D Atrous Convolutional Long Short-Term Memory Network for Background Subtraction.

[BibT_eX]

[DOI]

IEEE Access, 2018

DPNE: Differentially Private Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Recursive Structure Similarity: A Novel Algorithm for Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Deep Learning Model for Classifying Drug Abuse Risk Behavior in Tweets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Deep Self-Taught Learning for Detecting Drug Abuse Risk Behavior in Tweets.

[BibT_eX]

[DOI]

Proceedings of the Computational Data and Social Networks - 7th International Conference, 2018

2017

Preserving differential privacy in convolutional deep belief networks.

[BibT_eX]

[DOI]

Xintao Wu

Dejing Dou

Mach. Learn., 2017

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

[BibT_eX]

[DOI]

Inf. Sci., 2017

Time-Sensitive Behavior Prediction in a Health Social Network.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Importance Sketching of Influence Dynamics in Billion-Scale Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Enabling Real-Time Drug Abuse Detection in Tweets.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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+).

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2016

Dynamic socialized Gaussian process models for human behavior prediction in a health social network.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

All in One: Mining Multiple Movement Patterns.

[BibT_eX]

[DOI]

Int. J. Inf. Technol. Decis. Mak., 2016

Topic-Aware Physical Activity Propagation in a Health Social Network.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2016

Interaction Network Representations for Human Behavior Prediction.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Characterizing Physical Activity in a Health Social Network.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Digital Health Conference, 2016

Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Mining Multi-Relational Gradual Patterns.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 6th ACM Conference on Bioinformatics, 2015

Social Restricted Boltzmann Machine: Human Behavior Prediction in Health Social Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

PhD thesis, 2013

Get_Move : fouille de données d'objets mobiles.

[BibT_eX]

[DOI]

Ingénierie des Systèmes d Inf., 2013

Mining Representative Movement Patterns through Compression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012

Extracting Trajectories through an Efficient and Unifying Spatio-temporal Pattern Mining System.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

How to Extract Relevant Knowledge from Tweets?

[BibT_eX]

[DOI]

Proceedings of the Information Search, Integration and Personalization, 2012

GeT_Move: An Efficient and Unifying Spatio-temporal Pattern Mining Algorithm for Moving Objects.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Mining time relaxed gradual moving object clusters.

[BibT_eX]

[DOI]

Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012

Mining Fuzzy Moving Object Clusters.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011

Moving objects: Combining gradual rules and spatio-temporal patterns.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Van Duc Thong Hoang

Hyoseop Shin

Proceedings of the 18th International Conference on Multimedia 2010, 2010

Effective Clustering of Dense and Concentrated Online Communities.

[BibT_eX]

[DOI]