My T. Thai
24 papers · 2019–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 46% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which My T. Thai?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Truc Nguyen, Minh Vu, Dejing Dou
11 papers
· 2019–2026
· ICML, AISTATS, CVPR
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PAS: Prelim Attention Score for Detecting Object Hallucinations in Large Vision-Language Models
CVPR 2026
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
ICLR 2025
Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models
ICML 2025
Analysis of Privacy Leakage in Federated Large Language Models
AISTATS 2024
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization
AISTATS 2024
Active Membership Inference Attack under Local Differential Privacy in Federated Learning
AISTATS 2023
Deep Graph Representation Learning and Optimization for Influence Maximization
ICML 2023
XRand: Differentially Private Defense against Explanation-Guided Attacks
AAAI 2023
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
NeurIPS 2020
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
ICML 2020
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
IJCAI 2019
9 papers whose co-authors appear nowhere else under this name
Discovering a Shared Logical Subspace: Steering LLM Logical Reasoning via Alignment of Natural-Language and Symbolic Views
ACL 2026
EMaP: Explainable AI with Manifold-based Perturbations
JMLR 2025
Metric-Agnostic Continual Learning for Sustainable Group Fairness
AAAI 2025
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws
ICML 2025
XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications
AAAI 2025
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
NeurIPS 2024
Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint
IJCAI 2023
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network
AISTATS 2023
Streaming k-Submodular Maximization under Noise subject to Size Constraint
ICML 2020