Alycia N. Carey

According to our database, Alycia N. Carey authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Alycia N. Carey, Karuna Bhaila, Kennedy Edemacu, Xintao Wu

CoRR, 2024

Robust Influence-Based Training Methods for Noisy Brain MRI.

Minh-Hao Van, Alycia N. Carey, Xintao Wu

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

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

Alycia N. Carey, Minh-Hao Van, Xintao Wu

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

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

Alycia N. Carey, Xintao Wu

AI Ethics, February, 2023

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

Minh-Hao Van, Alycia N. Carey, Xintao Wu

Proceedings of the IEEE International Conference on Data Mining, 2023

Randomized Response Has No Disparate Impact on Model Accuracy.

Alycia N. Carey, Karuna Bhaila, Xintao Wu

Proceedings of the IEEE International Conference on Big Data, 2023

2022

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

Alycia N. Carey, Xintao Wu

Frontiers Big Data, 2022

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

Alycia N. Carey, Xintao Wu

CoRR, 2022

Robust Personalized Federated Learning under Demographic Fairness Heterogeneity.

Alycia N. Carey, Wei Du, Xintao Wu

Proceedings of the IEEE International Conference on Big Data, 2022

2020

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

Alycia N. Carey, Justin Zhan

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020