My T. Thai

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 176

Top Venues

CoRR

J. Comb. Optim.

IEEE/ACM Trans. Netw.

CSoNet

Publications

Hoang M. Ngo, Nguyen Hoang Khoi Do, Minh N. Vu, Tamer Kahveci, My T. Thai
CHARME: A chain-based reinforcement learning approach for the minor embedding problem. CoRR (2024)
Nguyen Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization. CoRR (2024)
Minh N. Vu, Truc D. T. Nguyen, Tre' R. Jeter, My T. Thai
Analysis of Privacy Leakage in Federated Large Language Models. CoRR (2024)
Raed Alharbi, Sylvia Chan-Olmsted, Huan Chen, My T. Thai
Deep learning framework with multi-perspective social behaviors for vaccine hesitation. Soc. Netw. Anal. Min. 14 (1) (2024)
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 (2024)
Nhat Hoang-Xuan, Minh N. Vu, My T. Thai
LLM-assisted Concept Discovery: Automatically Identifying and Explaining Neuron Functions. CoRR (2024)
Minh N. Vu, Truc D. T. Nguyen, Tre' R. Jeter, My T. Thai
Analysis of Privacy Leakage in Federated Large Language Models. AISTATS (2024)
Truc D. T. Nguyen, My T. Thai
Preserving Privacy and Security in Federated Learning. IEEE/ACM Trans. Netw. 32 (1) (2024)
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. Neural Networks 170 (2024)
Nguyen Hoang Khoi Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization. AISTATS (2024)
Shangde Gao, Yan Wang, My T. Thai
Investigating the Dynamics of Social Norm Emergence within Online Communities. CoRR (2023)
Raed Alharbi, My T. Thai
Analyzing the Dynamics of Social Norms: Positive vs Negative Emergence. ASONAM (2023)
Raed Alharbi, Sylvia Chan-Olmsted, Huan Chen, My T. Thai
Cultural-aware Machine Learning based Analysis of COVID-19 Vaccine Hesitancy. ICC (2023)
Minh N. Vu, My T. Thai
Limitations of Perturbation-based Explanation Methods for Temporal Graph Neural Networks. ICDM (2023)
Raed Alharbi, Lan N. Nguyen, My T. Thai
Continuous Length-Bounded Paths Interdiction. CSoNet (2023)
Truc D. T. Nguyen, Phung Lai, Hai Phan, My T. Thai
XRand: Differentially Private Defense against Explanation-Guided Attacks. AAAI (2023)
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)
Hoang M. Ngo, Tamim Khatib, My T. Thai, Tamer Kahveci
QOMIC: Quantum optimization for motif identification. CoRR (2023)
Tre' R. Jeter, Truc Nguyen, Raed Alharbi, My T. Thai
OASIS: Offsetting Active Reconstruction Attacks in Federated Learning. CoRR (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)
Hoang M. Ngo, Tamer Kahveci, My T. Thai
ATOM: An Efficient Topology Adaptive Algorithm for Minor Embedding in Quantum Computing. ICC (2023)
Hongchang Gao, Bin Gu, My T. Thai
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network. AISTATS (2023)
Hongchang Gao, My T. Thai, Jie Wu
When Decentralized Optimization Meets Federated Learning. CoRR (2023)
Canh V. Pham, Tan D. Tran, Dung T. K. Ha, My T. Thai
Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint. IJCAI (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) (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 (2023)
Yihan Zhang, My T. Thai, Jie Wu, Hongchang Gao
On the Communication Complexity of Decentralized Bilevel Optimization. CoRR (2023)
Raed Alharbi, Sylvia Chan-Olmsted, Huan Chen, My T. Thai
Cultural-aware Machine Learning based Analysis of COVID-19 Vaccine Hesitancy. CoRR (2023)
Raed Alharbi, Tre' R. Jeter, My T. Thai
Detection of Fake News Through Heterogeneous Graph Interactions. NETYS (2023)
Tre' R. Jeter, My T. Thai
Privacy Analysis of Federated Learning via Dishonest Servers. BigDataSecurity/HPSC/IDS (2023)
Khang Tran, Ferdinando Fioretto, Issa Khalil, My T. Thai, NhatHai Phan
FairDP: Certified Fairness with Differential Privacy. CoRR (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 (2023)
Minh N. Vu, Tre' R. Jeter, Raed Alharbi, My T. Thai
Active Data Reconstruction Attacks in Vertical Federated Learning. BigData (2023)
Hongchang Gao, My T. Thai, Jie Wu
When Decentralized Optimization Meets Federated Learning. IEEE Netw. 37 (5) (2023)
Tu N. Nguyen, Kashyab J. Ambarani, My T. Thai
Optimizing Resource Allocation and VNF Embedding in RAN Slicing. 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)
Lan N. Nguyen, My T. Thai
Efficient Algorithms for Monotone Non-Submodular Maximization with Partition Matroid Constraint. IJCAI (2022)
Truc D. T. Nguyen, My T. Thai
Preserving Privacy and Security in Federated Learning. CoRR (2022)
Truc D. T. Nguyen, Phuc Thai, Tre' R. Jeter, Thang N. Dinh, My T. Thai
Blockchain-based Secure Client Selection in Federated Learning. CoRR (2022)
Muhammad Saad, Victor Cook, Lan N. Nguyen, My T. Thai, David Mohaisen
Exploring Partitioning Attacks on the Bitcoin Network. IEEE/ACM Trans. Netw. 30 (1) (2022)
Tu N. Nguyen, Bing-Hong Liu, My T. Thai, Ivan Djordjevic
Towards An Optimal Solution to Place Bistatic Radars for Belt Barrier Coverage with Minimum Cost. CoRR (2022)
Minh N. Vu, Truc D. T. Nguyen, My T. Thai
NeuCEPT: Learn Neural Networks' Mechanism via Critical Neurons with Precision Guarantee. ICDM (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)
Minh N. Vu, Huy Q. Mai, My T. Thai
EMaP: Explainable AI with Manifold-based Perturbations. CoRR (2022)
Phuc Thai, My T. Thai, Tam Vu, Thang N. Dinh
FastHare: Fast Hamiltonian Reduction for Large-scale Quantum Annealing. CoRR (2022)
Minh N. Vu, Truc D. T. Nguyen, My T. Thai
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee. CoRR (2022)
Phuc Thai, My T. Thai, Tam Vu, Thang N. Dinh
SaPHyRa: A Learning Theory Approach to Ranking Nodes in Large Networks. 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)
Truc D. T. Nguyen, Phuc Thai, Tre' R. Jeter, Thang N. Dinh, My T. Thai
Blockchain-based Secure Client Selection in Federated Learning. ICBC (2022)
Minh N. Vu, My T. Thai
On the Limit of Explaining Black-box Temporal Graph Neural Networks. CoRR (2022)
Phuc Thai, My T. Thai, Tam Vu, Thang N. Dinh
FastHare: Fast Hamiltonian Reduction for Large-scale Quantum Annealing. QCE (2022)
Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai
An Explainer for Temporal Graph Neural Networks. GLOBECOM (2022)
Hongchang Gao, Bin Gu, My T. Thai
Stochastic Bilevel Distributed Optimization over a Network. CoRR (2022)
Lan N. Nguyen, My T. Thai
Efficient Algorithms for Monotone Non-Submodular Maximization with Partition Matroid Constraint. CoRR (2022)
Truc D. T. Nguyen, My T. Thai
zVote: A Blockchain-based Privacy-preserving Platform for Remote E-voting. ICC (2022)
Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai
An Explainer for Temporal Graph Neural Networks. CoRR (2022)
Phuc Thai, My T. Thai, Tam Vu, Thang N. Dinh
SaPHyRa: A Learning Theory Approach to Ranking Nodes in Large Networks. ICDE (2022)
Truc D. T. Nguyen, Phung Lai, NhatHai Phan, My T. Thai
XRand: Differentially Private Defense against Explanation-Guided Attacks. CoRR (2022)
Van-Trung Pham, Tu N. Nguyen, Bing-Hong Liu, My T. Thai, Braulio Dumba, Tong Lin
Minimizing Latency for Data Aggregation in Wireless Sensor Networks: An Algorithm Approach. ACM Trans. Sens. Networks 18 (3) (2022)
Kashyab J. Ambarani, Shivansh Sharma, Shravan Komarabattini, My T. Thai, Tu N. Nguyen
Enforcing Resource Allocation and VNF Embedding in RAN Slicing. GLOBECOM (2021)
Minh N. Vu, Truc D. T. Nguyen, NhatHai Phan, Ralucca Gera, My T. Thai
c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation. IEEE BigData (2021)
Andrea Tagarelli, Sabrina Gaito, Roberto Interdonato, Tsuyoshi Murata, Alessandra Sala, My T. Thai
Guest Editorial Introduction to the Special Section on Reloading Feature-Rich Information Networks. IEEE Trans. Netw. Sci. Eng. 8 (2) (2021)
Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Erwu Liu, My T. Thai
Welcome message from the Editors-in-Chief. IET Blockchain 1 (1) (2021)
Lan N. Nguyen, My T. Thai
Minimum Robust Multi-Submodular Cover for Fairness. AAAI (2021)
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)
Raed Alharbi, Minh N. Vu, My T. Thai
Evaluating Fake News Detection Models from Explainable Machine Learning Perspectives. ICC (2021)
Raed Alharbi, Minh N. Vu, My T. Thai
Learning Interpretation with Explainable Knowledge Distillation. CoRR (2021)
Phuong N. H. Pham, Canh V. Pham, Hieu V. Duong, Thanh T. Nguyen, My T. Thai
Groups Influence with Minimum Cost in Social Networks. CoRR (2021)
Raed Alharbi, Minh N. Vu, My T. Thai
Learning Interpretation with Explainable Knowledge Distillation. IEEE BigData (2021)
Truc D. T. Nguyen, My T. Thai
A Blockchain-based Iterative Double Auction Protocol Using Multiparty State Channels. ACM Trans. Internet Techn. 21 (2) (2021)
Phuong N. H. Pham, Canh V. Pham, Hieu V. Duong, Trung Thanh Nguyen, My T. Thai
Groups Influence with Minimum Cost in Social Networks. CSoNet (2021)
Minh N. Vu, My T. Thai
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks. CoRR (2020)
Donghyun Kim, My T. Thai, R. N. Uma
Guest Editorial Introduction to the Special Section on Scalability and Privacy in Social Networks. IEEE Trans. Netw. Sci. Eng. 7 (2) (2020)
Lan N. Nguyen, My T. Thai
Length-Bounded Paths Interdiction in Continuous Domain for Network Performance Assessment. CoRR (2020)
Oanh Tran Thi Kim, Nguyen H. Tran, Chuan Pham, Tuan LeAnh, My T. Thai, Choong Seon Hong
Parking Assignment: Minimizing Parking Expenses and Balancing Parking Demand Among Multiple Parking Lots. IEEE Trans Autom. Sci. Eng. 17 (3) (2020)
Minh N. Vu, My T. Thai
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks. NeurIPS (2020)
Lan N. Nguyen, J. David Smith, Jinsung Bae, Jungmin Kang, Jungtaek Seo, My T. Thai
Auditing on Smart-Grid With Dynamic Traffic Flows: An Algorithmic Approach. IEEE Trans. Smart Grid 11 (3) (2020)
Tianyi Pan, Subhankar Mishra, Lan N. Nguyen, Gunhee Lee, Jungmin Kang, Jungtaek Seo, My T. Thai
Threat from being Social: Vulnerability Analysis of Social Network Coupled Smart Grid. CoRR (2020)
Truc D. T. Nguyen, My T. Thai
A Blockchain-based Iterative Double Auction Protocol using Multiparty State Channels. CoRR (2020)
Lan N. Nguyen, Truc D. T. Nguyen, Thang N. Dinh, My T. Thai
OptChain: Optimal Transactions Placement for Scalable Blockchain Sharding. CoRR (2020)
J. David Smith, My T. Thai
Supporting a Storm: The Impact of Community on #GamerGate's Lifespan. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Hai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou
Scalable Differential Privacy with Certified Robustness in Adversarial Learning. ICML (2020)
Lan Nguyen, My T. Thai
Streaming k-Submodular Maximization under Noise subject to Size Constraint. ICML (2020)
Tianyi Pan, Xiang Li, Alan Kuhnle, My T. Thai
Influence Diffusion in Online Social Networks With Propagation Rate Changes. IEEE Trans. Netw. Sci. Eng. 7 (4) (2020)
Xiang Li, J. David Smith, Tianyi Pan, Thang N. Dinh, My T. Thai
Quantifying Privacy Vulnerability to Socialbot Attacks: An Adaptive Non-Submodular Model. IEEE Trans. Emerg. Top. Comput. 8 (3) (2020)
Lan N. Nguyen, My T. Thai
Minimum Robust Multi-Submodular Cover for Fairness. CoRR (2020)
J. David Smith, My T. Thai
Measuring Edge Sparsity on Large Social Networks. ICWSM (2020)
Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. CoRR (2020)
Truc D. T. Nguyen, My T. Thai
Denial-of-Service Vulnerability of Hash-based Transaction Sharding: Attacks and Countermeasures. CoRR (2020)
Alan Kuhnle, Victoria G. Crawford, My T. Thai
Scalable approximations to k-cycle transversal problems on dynamic networks. Knowl. Inf. Syst. 61 (1) (2019)
Xiang Li, Tianyi Pan, Md Abdul Alim, My T. Thai
Resource Allocation in Highly Dynamic Device-to-Device Communication: An Adaptive Set Multi-Cover Approach. IEEE Trans. Wirel. Commun. 18 (10) (2019)
Alexander Veremyev, Konstantin Pavlikov, Eduardo L. Pasiliao, My T. Thai, Vladimir Boginski
Critical nodes in interdependent networks with deterministic and probabilistic cascading failures. J. Glob. Optim. 74 (4) (2019)
Hung Nguyen, Phuc Thai, My T. Thai, Tam Vu, Thang N. Dinh
Approximate k-Cover in Hypergraphs: Efficient Algorithms, and Applications. CoRR (2019)
Victoria G. Crawford, Alan Kuhnle, My T. Thai
Submodular Cost Submodular Cover with an Approximate Oracle. CoRR (2019)
Lan N. Nguyen, J. David Smith, My T. Thai
Vulnerability Assessment of Social-Smart Grids: An Algorithmic Approach. GLOBECOM (2019)
NhatHai Phan, Ruoming Jin, My T. Thai, Han Hu, Dejing Dou
Preserving Differential Privacy in Adversarial Learning with Provable Robustness. CoRR (2019)
Canh V. Pham, Hieu V. Duong, My T. Thai
Importance Sample-based Approximation Algorithm for Cost-aware Targeted Viral Marketing. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

My T. Thai