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Author search results
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- My T. Thai
aka: My Tra Thai
University of Florida, Gainesville, Florida, USA
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Publication search results
found 304 matches
- 2024
- Truc D. T. Nguyen, My T. Thai:
Preserving Privacy and Security in Federated Learning. IEEE/ACM Trans. Netw. 32(1): 833-843 (2024) - Minh Hoàng Hà, Xingquan Zhu, My T. Thai:
Computational Data and Social Networks - 12th International Conference, CSoNet 2023, Hanoi, Vietnam, December 11-13, 2023, Proceedings. Lecture Notes in Computer Science 14479, Springer 2024, ISBN 978-981-97-0668-6 [contents] - Chu Myaet Thwal, Minh N. H. Nguyen, Ye Lin Tun, Seong Tae Kim, My T. Thai, Choong Seon Hong:
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning. CoRR abs/2401.11652 (2024) - Nguyen Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai:
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization. CoRR abs/2402.16898 (2024) - Minh N. Vu, Truc D. T. Nguyen, Tre' R. Jeter, My T. Thai:
Analysis of Privacy Leakage in Federated Large Language Models. CoRR abs/2403.04784 (2024) - 2023
- Meghan Hatfield, Thai Hien Nguyen, Richard Chapman, Alayna C. Myrick, Theodore Leng, Michael Mbagwu, Shrujal Baxi, Aracelis Z. Torres, Durga S. Borkar:
Identifying the mechanism of missingness for unspecified diabetic retinopathy disease severity in the electronic health record: an IRIS® Registry analysis. J. Am. Medical Informatics Assoc. 30(6): 1199-1204 (2023) - Hongchang Gao, My T. Thai, Jie Wu:
When Decentralized Optimization Meets Federated Learning. IEEE Netw. 37(5): 233-239 (2023) - Truc D. T. Nguyen, My T. Thai:
Denial-of-Service Vulnerability of Hash-Based Transaction Sharding: Attack and Countermeasure. IEEE Trans. Computers 72(3): 641-652 (2023) - Truc D. T. Nguyen, Phung Lai, Hai Phan, My T. Thai:
XRand: Differentially Private Defense against Explanation-Guided Attacks. AAAI 2023: 11873-11881 - Hongchang Gao, Bin Gu, My T. Thai:
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network. AISTATS 2023: 9238-9281 - 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: 5714-5730 - Raed Alharbi, My T. Thai:
Analyzing the Dynamics of Social Norms: Positive vs Negative Emergence. ASONAM 2023: 25-29 - Minh N. Vu, Tre' R. Jeter, Raed Alharbi, My T. Thai:
Active Data Reconstruction Attacks in Vertical Federated Learning. IEEE Big Data 2023: 1374-1379 - Tre' R. Jeter, My T. Thai:
Privacy Analysis of Federated Learning via Dishonest Servers. BigDataSecurity/HPSC/IDS 2023: 24-29 - Quang Tung Thai, Myung-Eun Kim, Namseok Ko:
On design and implementation of a cloud-native B5G mobile core network. CloudNet 2023: 477-482 - Raed Alharbi, Lan N. Nguyen, My T. Thai:
Continuous Length-Bounded Paths Interdiction. CSoNet 2023: 149-161 - Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao:
The Second Monocular Depth Estimation Challenge. CVPR Workshops 2023: 3064-3076 - Raed Alharbi, Sylvia Chan-Olmsted, Huan Chen, My T. Thai:
Cultural-aware Machine Learning based Analysis of COVID-19 Vaccine Hesitancy. ICC 2023: 2864-2869 - Hoang M. Ngo, Tamer Kahveci, My T. Thai:
ATOM: An Efficient Topology Adaptive Algorithm for Minor Embedding in Quantum Computing. ICC 2023: 2692-2697 - Minh N. Vu, My T. Thai:
Limitations of Perturbation-based Explanation Methods for Temporal Graph Neural Networks. ICDM 2023: 618-627 - Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao:
Deep Graph Representation Learning and Optimization for Influence Maximization. ICML 2023: 21350-21361 - Canh V. Pham, Tan D. Tran, Dung K. T. Ha, My T. Thai:
Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint. IJCAI 2023: 4127-4135 - Raed Alharbi, Tre' R. Jeter, My T. Thai:
Detection of Fake News Through Heterogeneous Graph Interactions. NETYS 2023: 3-16 - Shangde Gao, Yan Wang, My T. Thai:
Investigating the Dynamics of Social Norm Emergence within Online Communities. CoRR abs/2301.00453 (2023) - Nooshin Yousefzadeh, Charlie T. Tran, Adolfo Ramirez-Zamora, Jinghua Chen, Ruogu Fang, My T. Thai:
LAVA: Granular Neuron-Level Explainable AI for Alzheimer's Disease Assessment from Fundus Images. CoRR abs/2302.03008 (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 abs/2302.12685 (2023) - Raed Alharbi, Sylvia Chan-Olmsted, Huan Chen, My T. Thai:
Cultural-aware Machine Learning based Analysis of COVID-19 Vaccine Hesitancy. CoRR abs/2304.06953 (2023) - Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao:
The Second Monocular Depth Estimation Challenge. CoRR abs/2304.07051 (2023) - Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Lukas Xue, James Song, Meikang Qiu, Liang Zhao:
Deep Graph Representation Learning and Optimization for Influence Maximization. CoRR abs/2305.02200 (2023) - Canh V. Pham, Tan D. Tran, Dung K. T. Ha, My T. Thai:
Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint. CoRR abs/2305.10292 (2023)
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