Alycia N. Carey

IEEE Trans. Big Data, June, 2026

2025

Influence-based approaches for tumor classification in noisy brain MRI with deep learning and vision-language models.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., November, 2025

Achieving Flexible Local Differential Privacy in Federated Learning via Influence Functions.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

2024

Robust Influence-Based Training Methods for Noisy Brain MRI.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

DP-TabICL: In-Context Learning with Differentially Private Tabular Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2024

2023

The statistical fairness field guide: perspectives from social and formal sciences.

[BibT_eX]

[DOI]

AI Ethics, February, 2023

HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Randomized Response Has No Disparate Impact on Model Accuracy.

[BibT_eX]

[DOI]

Karuna Bhaila

Proceedings of the IEEE International Conference on Big Data, 2023

2022

The Causal Fairness Field Guide: Perspectives From Social and Formal Sciences.

[BibT_eX]

[DOI]

Frontiers Big Data, 2022

The Fairness Field Guide: Perspectives from Social and Formal Sciences.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Personalized Federated Learning under Demographic Fairness Heterogeneity.

[BibT_eX]

[DOI]

Wei Du

Proceedings of the IEEE International Conference on Big Data, 2022

2020

A Cancelable Multi-Modal Biometric Based Encryption Scheme for Medical Images.

[BibT_eX]

[DOI]