A Cancelable Multi-Modal Biometric Based Encryption Scheme for Medical Images. - Alycia N. Carey; Justin Zhan (IEEE BigData, 2020)

Robust Personalized Federated Learning under Demographic Fairness Heterogeneity. - Alycia N. Carey; Wei Du 009; Xintao Wu (IEEE Big Data, 2022)

The Fairness Field Guide: Perspectives from Social and Formal Sciences. - Alycia N. Carey; Xintao Wu (CoRR, 2022)

The Causal Fairness Field Guide: Perspectives From Social and Formal Sciences. - Alycia N. Carey; Xintao Wu (Frontiers Big Data, 2022)

Randomized Response Has No Disparate Impact on Model Accuracy. - Alycia N. Carey; Karuna Bhaila; Xintao Wu (IEEE Big Data, 2023)

HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks. - Minh-Hao Van; Alycia N. Carey; Xintao Wu (ICDM, 2023)

The statistical fairness field guide: perspectives from social and formal sciences. - Alycia N. Carey; Xintao Wu (AI Ethics, 2023)

DP-TabICL: In-Context Learning with Differentially Private Tabular Data. - Alycia N. Carey; Karuna Bhaila; Kennedy Edemacu; Xintao Wu (IEEE Big Data, 2024)

Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions. - Alycia N. Carey; Minh-Hao Van; Xintao Wu (IJCNN, 2024)

Robust Influence-Based Training Methods for Noisy Brain MRI. - Minh-Hao Van; Alycia N. Carey; Xintao Wu (PKDD (4), 2024)

Achieving Distributive Justice in Federated Learning via Uncertainty Quantification. - Alycia N. Carey; Xintao Wu (CoRR, 2025)