Phung Lai

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Differential Privacy

Matrix Decomposition

Top Venues

Publications

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) (2024)
Truc D. T. Nguyen, Phung Lai, Hai Phan, My T. Thai
XRand: Differentially Private Defense against Explanation-Guided Attacks. AAAI (2023)
Vaisnavi Nemala, Phung Lai, NhatHai Phan
Differential Privacy in HyperNetworks for Personalized Federated Learning. CIKM (2023)
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)
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 (2023)
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 (2022)
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 (2022)
Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios
User-Entity Differential Privacy in Learning Natural Language Models. Big Data (2022)
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. Big Data (2022)
Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios
User-Entity Differential Privacy in Learning Natural Language Models. CoRR (2022)
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)
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) (2022)
Truc D. T. Nguyen, Phung Lai, NhatHai Phan, My T. Thai
XRand: Differentially Private Defense against Explanation-Guided Attacks. CoRR (2022)
Phung Lai, NhatHai Phan, Abdallah Khreishah, Issa Khalil, Xintao Wu
Model Transferring Attacks to Backdoor HyperNetwork in Personalized Federated Learning. CoRR (2022)
Pradnya Desai, Phung Lai, NhatHai Phan, My T. Thai
Continual Learning with Differential Privacy. ICONIP (6) (2021)
Pradnya Desai, Phung Lai, NhatHai Phan, My T. Thai
Continual Learning with Differential Privacy. CoRR (2021)
Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou
Ontology-based Interpretable Machine Learning for Textual Data. IJCNN (2020)
Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou
Ontology-based Interpretable Machine Learning for Textual Data. CoRR (2020)
Trung Vu, Phung Lai, Raviv Raich, Anh T. Pham, Xiaoli Z. Fern, U. K. Arvind Rao
A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis. IEEE Trans. Medical Imaging 39 (10) (2020)
Phung Lai, Raviv Raich, Molly Megraw
Convmd: Convolutive Matrix Decomposition For Classification Of Matrix Data. SSP (2018)
Tam Nguyen, Raviv Raich, Phung Lai
Jeffreys prior regularization for logistic regression. SSP (2016)