Towards Trustworthy Federated Learning.
CoRR, March, 2025
Orthogonal Mixed-Effects Modeling for High-Dimensional Longitudinal Data: An Unsupervised Learning Approach.
IEEE Trans. Medical Imaging, January, 2025
Refining Counterfactual Explanations With Joint-Distribution-Informed Shapley Towards Actionable Minimality.
CoRR, 2024
Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes.
CoRR, 2024
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly.
CoRR, 2024
Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data.
CoRR, 2024
Increasing Fairness in Compromise on Accuracy via Weighted Vote with Learning Guarantees.
CoRR, 2023
Vulnerability of CNNs against Multi-Patch Attacks.
Proceedings of the Sat-CPS@CODASPY 2023: Proceedings of the 2023 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems, 2023
Subarchitecture Ensemble Pruning in Neural Architecture Search.
IEEE Trans. Neural Networks Learn. Syst., 2022
When Does Diversity Help Generalization in Classification Ensembles?
IEEE Trans. Cybern., 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey.
CoRR, 2022
Ensemble Pruning Based on Objection Maximization With a General Distributed Framework.
IEEE Trans. Neural Networks Learn. Syst., 2020
Sub-Architecture Ensemble Pruning in Neural Architecture Search.
CoRR, 2019