Phung Lai

33 papers A* 1A 3B 6Journal 17Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A conf
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning.
ICDCS
Phung Lai, Guanxiong Liu, NhatHai Phan, Issa Khalil, Abdallah Khreishah, Xintao Wu
2025 J jnl
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning.
CoRR
Phung Lai, Guanxiong Liu, NhatHai Phan, Issa Khalil, Abdallah Khreishah, Xintao Wu
2025 J jnl
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning.
CoRR
Phung Lai, Xiaopeng Jiang, Hai Phan, Cristian Borcea, Khang Tran, An M. Chen, Vijaya Datta Mayyuri, Ruoming Jin
2025 B conf
From Black Box to Insight: Explainable AI for Extreme Event Preparedness.
IEEE Big Data
Kiana Vu, Ismet Selçuk Özer, Phung Lai, Zheng Wu, Thilanka Munasinghe, Jennifer C. Wei
2025 J jnl
From Black Box to Insight: Explainable AI for Extreme Event Preparedness.
CoRR
Kiana Vu, Ismet Selçuk Özer, Phung Lai, Zheng Wu, Thilanka Munasinghe, Jennifer C. Wei
2025 J jnl
SoK: Are Watermarks in LLMs Ready for Deployment?
CoRR
Kieu Dang, Phung Lai, NhatHai Phan, Yelong Shen, Ruoming Jin, Abdallah Khreishah, My T. Thai
2025 J jnl
δ-STEAL: LLM Stealing Attack with Local Differential Privacy.
CoRR
Kieu Dang, Phung Lai, NhatHai Phan, Yelong Shen, Ruoming Jin, Abdallah Khreishah
2024 B conf
Assessment of Quantum ML Applicability for Climate Actions: Comparison of the Variational Quantum Classifier and the Quantum Support Vector Classifier with Classical ML Models.
IEEE Big Data
Thilanka Munasinghe, Phung Lai, Jennifer C. Wei, James A. Hendler, Kimberly A. Cornell
2024 J jnl
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps.
IEEE Trans. Mob. Comput.
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
2024 — conf
Navigating Trustworthiness in LLMs: An Examination of Privacy, Security, and Robustness.
CSoNet
Kieu Dang, Phung Lai
2024 — conf
Trustworthiness in Vision-Language Models.
CSoNet
Kiana Vu, Phung Lai
2024 B conf
XSub: Explanation-Driven Adversarial Attack against Blackbox Classifiers via Feature Substitution.
IEEE Big Data
Kiana Vu, Phung Lai, Truc Nguyen
2024 J jnl
XSub: Explanation-Driven Adversarial Attack against Blackbox Classifiers via Feature Substitution.
CoRR
Kiana Vu, Phung Lai, Truc Nguyen
2023 A conf
Active Membership Inference Attack under Local Differential Privacy in Federated Learning.
AISTATS
Truc D. T. Nguyen, Phung Lai, Khang Tran, NhatHai Phan, My T. Thai
2023 J jnl
Active Membership Inference Attack under Local Differential Privacy in Federated Learning.
CoRR
Truc D. T. Nguyen, Phung Lai, Khang Tran, NhatHai Phan, My T. Thai
2023 A conf
Differential Privacy in HyperNetworks for Personalized Federated Learning.
CIKM
Vaisnavi Nemala, Phung Lai, NhatHai Phan
2023 A* conf
XRand: Differentially Private Defense against Explanation-Guided Attacks.
AAAI
Truc D. T. Nguyen, Phung Lai, Hai Phan, My T. Thai
2022 B conf
Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks.
IEEE Big Data
Khang Tran, Phung Lai, NhatHai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My T. Thai, Xintao Wu
2022 J jnl
Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks.
CoRR
Khang Tran, Phung Lai, NhatHai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My Tra Thai, Xintao Wu
2022 — conf
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning.
CoLLAs
Phung Lai, Han Hu, Hai Phan, Ruoming Jin, My T. Thai, An M. Chen
2022 J jnl
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning.
CoRR
Phung Lai, Han Hu, NhatHai Phan, Ruoming Jin, My T. Thai, An M. Chen
2022 J jnl
Model Transferring Attacks to Backdoor HyperNetwork in Personalized Federated Learning.
CoRR
Phung Lai, NhatHai Phan, Abdallah Khreishah, Issa Khalil, Xintao Wu
2022 J jnl
OnML: an ontology-based approach for interpretable machine learning.
J. Comb. Optim.
Pelin Ayranci, Phung Lai, NhatHai Phan, Han Hu, Alexander Kolinowski, David Newman, Deijing Dou
2022 B conf
User-Entity Differential Privacy in Learning Natural Language Models.
IEEE Big Data
Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios
2022 J jnl
User-Entity Differential Privacy in Learning Natural Language Models.
CoRR
Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios
2022 J jnl
XRand: Differentially Private Defense against Explanation-Guided Attacks.
CoRR
Truc D. T. Nguyen, Phung Lai, NhatHai Phan, My T. Thai
2021 — conf
Continual Learning with Differential Privacy.
ICONIP (6)
Pradnya Desai, Phung Lai, NhatHai Phan, My T. Thai
2021 J jnl
Continual Learning with Differential Privacy.
CoRR
Pradnya Desai, Phung Lai, NhatHai Phan, My T. Thai
2020 J jnl
A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis.
IEEE Trans. Medical Imaging
Trung Vu, Phung Lai, Raviv Raich, Anh T. Pham, Xiaoli Z. Fern, Arvind U. K. Rao
2020 B conf
Ontology-based Interpretable Machine Learning for Textual Data.
IJCNN
Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou
2020 J jnl
Ontology-based Interpretable Machine Learning for Textual Data.
CoRR
Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou
2018 — conf
Convmd: Convolutive Matrix Decomposition For Classification Of Matrix Data.
SSP
Phung Lai, Raviv Raich, Molly Megraw
2016 — conf
Jeffreys prior regularization for logistic regression.
SSP
Tam Nguyen, Raviv Raich, Phung Lai