Education
Ph.D.; CNRS, University Motpellier 2; Computer Science And Engineering; 2013
M.S.; Konkuk University; Computer Science And Engineering; 2010
B.S.; HCM City University of Technology; Computer Science And Engineering; 2008
2026 Fall Courses
CS 792 - PRE-DOCTORAL RESEARCH
DS 790A - DOCT DISSERTATION & RES
IS 488 - INDEPENDENT STUDY IN INFO
DS 700B - MASTER'S PROJECT
IS 489 - INFO UNDERGRAD THESIS RESEARCH
IS 700B - MASTER'S PROJECT
IS 701B - MASTER'S THESIS
IS 776 - IS RESEARCH STUDY
DS 110 - BASIC FOUNDATIONS OF AI
DS 725 - INDEPENDENT STUDY I
IS 792 - PRE-DOCTORAL RESEARCH
CS 489 - COMPUTER SCIENCE RESEARCH PROJ
CS 701B - MASTER'S THESIS
CS 725 - INDEPENDENT STUDY I
DS 488 - INDEPENDENT STUDY IN DS
IS 491 - SENIOR PROJECT - IS
CS 488 - INDEPENDENT STUDY IN CS
CS 726 - INDEPENDENT STUDY II
DS 701B - MASTER'S THESIS
DS 701C - MASTER'S THESIS
IS 726 - INDEPENDENT STUDY II
IT 488 - INDEPENDENT STUDY
DS 726 - INDEPENDENT STUDY II
DS 792B - PRE-DOCTORAL RESEARCH
IS 790A - DOCT DISSERTATION & RES
CS 700B - MASTER'S PROJECT
IS 725 - INDEPENDENT STUDY I
CS 790A - DOCT DISSERTATION & RES
Past Courses
DS 110: BASIC FOUNDATIONS OF ARTIFICIAL INTELLIGENCE
DS 677: DEEP LEARNING
DS 789: TRUSTWORTHY ARTIFICIAL INTELLIGENCE
DS 791: GRADUATE SEMINAR
IS 333: SOCIAL NETWORK ANALYSIS
IS 665: DATA ANALYTICS FOR INFO SYSTEM
IS 688: WEB MINING
IS 698: EMERGING TOPICS IN DEEP LEARNING - ARTIFICIAL INTELLIGENCE
Conference Proceeding
"FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design"
2025.
2025.
"FlipStress: Noise Injection Defenses Against CPU-cache-based Web Attacks"
Proc. of The 21st EAI International Conference on Security and Privacy in Communication Networks (SecureComm '25), July (3rd Quarter/Summer), 2025.
Proc. of The 21st EAI International Conference on Security and Privacy in Communication Networks (SecureComm '25), July (3rd Quarter/Summer), 2025.
"How to Backdoor HyperNetwork in Personalized Federated Learning?"
2023.
2023.
"Zone-based Federated Learning for Mobile Sensing Data"
The 21st IEEE International Conference on Pervasive Computing and Communications (PerCom 2023), March, 2023.
The 21st IEEE International Conference on Pervasive Computing and Communications (PerCom 2023), March, 2023.
"An ensemble deep learning model for drug abuse detection in sparse twitter-sphere"
MEDINFO, August, 2019.
MEDINFO, August, 2019.
"Classification of ecological data using deep learning methods"
Global Conference on Biomedical Engineering, November, 2018.
Global Conference on Biomedical Engineering, November, 2018.
"Deep Learning Model for Classifying Drug Abuse Risk Behavior in Tweets"
International Conference on Health Informatics, June, 2018.
International Conference on Health Informatics, June, 2018.
"Enabling Real-Time Drug Abuse Detection in Tweets"
Proceedings of ICDE/HDMM, April (2nd Quarter/Spring), 2017.
Proceedings of ICDE/HDMM, April (2nd Quarter/Spring), 2017.
Journal Article
Y. Shen, Hai Nhat Phan, Frank Y. Shih. 2025. "Adaptive data transformation in contrastive learning." Pattern Recognition and Artificial Intelligence, vol. 39, no. 10, pp. 16.
Xiaopeng Jiang, Han Hu, Thinh On, Phung Lai, Vijaya Mayyuri, An Chen, Devu Shila, Adriaan Larmuseau, Ruoming Jin, Cristian M. Borcea, Hai Nhat Phan. 2024. "FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps." IEEE Transactions on Mobile Computing (IEEE TMC).
Jianfeng Zhu, Ruoming Jin, Neha Yalamanchi, Deric Kenne, Hai Nhat Phan. 2023. "Exploring COVID-19’s Impact on Mental Health: A Longitudinal and Thematic Analysis of Reddit Users’ Discourse." Journal of Medical Internet Research.
Pelin Ayranci, Cesar Bandera, Hai Nhat Phan, Derik Kenne, Ruoming Jin, Dong Li. 2022. "Distinguishing the Effect of Time Spent at Home During COVID-19 Pandemic on the Mental Health of Urban and Suburban College Students Using Cell Phone Geolocation." International Journal of Environmental Research and Public Health, vol. 19, no. 12.
Hai Nhat Phan, Cesar Bandera. 2022. "Distinguishing the Effect of Time Spent at Home During COVID-19 Pandemic on the Mental Health of Urban and Suburban College Students Using Cell Phone Geolocation." .
Hai Nhat Phan. 2022. "OnML: An Ontology-based Approach for Interpretable Machine Learning." .
Guanxiong Liu, Issa Khalil, Abdallah Khreishah, Hai Nhat Phan. 2020. "Trojans and adversarial examples: A lethal combination." .
Guanxiong Liu, Issa Khalil, Abdallah Khreishah, Hai Nhat Phan. 2020. "Trojans and Adversarial Examples: A Lethal Combination." .
Guanxiong Liu, Issa Khalil, Abdallah Khreishah, Hai Nhat Phan. 2020. "Trojans and Adversarial Examples: A Lethal Combination." .
S Liu, Frank Y. Shih, Gareth J. Russell, Hai Nhat Phan. 2020. "Classification of ecological data by deep learning." Pattern Recognition and Artificial Intelligence, vol. 34, no. 13, pp. 2052010 .
Han Hu, Hai Nhat Phan, Soon A Chun, James Geller, Huy Vo, Xinyue Ye, Ruoming Jin, Kele Ding, Deric Kenne, Dejing Dou. 2019. "An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning." Computational Social Networks, vol. 6, no. 1, pp. 10.
Hai Nhat Phan. 2017. "Preserving Differential Privacy in Convolutional Deep Belief Networks." Machine Learning, vol. 106, no. 9-10, pp. 1681–1704.
Conference Paper
"How to Backdoor HyperNetwork in Personalized Federated Learning?"
NeurIPS 2023 - Backdoor in Deep Learning, December, 2023.
NeurIPS 2023 - Backdoor in Deep Learning, December, 2023.
"Differential Privacy in HyperNetworks for Personalized Federated Learning"
The 32nd ACM International Conference on Information and Knowledge Management (ACM CIKM 2023), July (3rd Quarter/Summer), 2023.
The 32nd ACM International Conference on Information and Knowledge Management (ACM CIKM 2023), July (3rd Quarter/Summer), 2023.
"Active Membership Inference Attack under Local Differential Privacy in Federated Learning"
The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), April (2nd Quarter/Spring), 2023.
The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), April (2nd Quarter/Spring), 2023.
"XRand: Differentially Private Defense against Explanation-Guided Attacks"
AAAI Conference on Artificial Intelligence (AAAI 2023), February, 2023.
AAAI Conference on Artificial Intelligence (AAAI 2023), February, 2023.
"Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks"
IEEE BigData 2022, December, 2022.
IEEE BigData 2022, December, 2022.
"Un-Fair Trojan: Targeted Backdoor Attacks Against Model Fairness"
The 9th IEEE International Conference on Software Defined Systems (IEEE SDS-2022), December, 2022.
The 9th IEEE International Conference on Software Defined Systems (IEEE SDS-2022), December, 2022.
"User-Entity Differential Privacy in Learning Natural Language Models"
IEEE BigData 2022, December, 2022.
IEEE BigData 2022, December, 2022.
"Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning"
August, 2022.
August, 2022.
"A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples"
December, 2021.
December, 2021.
"c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation"
December, 2021.
December, 2021.
"Continual Learning with Differential Privacy"
December, 2021.
December, 2021.
"Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network"
November, 2021.
November, 2021.