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2020 – today
- 2024
[c6]Alycia N. Carey, Minh-Hao Van, Xintao Wu:
Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions. IJCNN 2024: 1-10- [c5]Minh-Hao Van
, Alycia N. Carey, Xintao Wu:
Robust Influence-Based Training Methods for Noisy Brain MRI. PKDD (4) 2024: 246-257 - [i5]Alycia N. Carey, Karuna Bhaila, Kennedy Edemacu, Xintao Wu:
DP-TabICL: In-Context Learning with Differentially Private Tabular Data. CoRR abs/2403.05681 (2024) - [i4]Minh-Hao Van, Alycia N. Carey, Xintao Wu:
Robust Influence-based Training Methods for Noisy Brain MRI. CoRR abs/2403.10698 (2024) - 2023
- [j2]Alycia N. Carey, Xintao Wu:
The statistical fairness field guide: perspectives from social and formal sciences. AI Ethics 3(1): 1-23 (2023) - [c4]Alycia N. Carey, Karuna Bhaila, Xintao Wu:
Randomized Response Has No Disparate Impact on Model Accuracy. IEEE Big Data 2023: 5460-5465 - [c3]Minh-Hao Van, Alycia N. Carey, Xintao Wu:
HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks. ICDM 2023: 608-617 - [i3]Minh-Hao Van, Alycia N. Carey, Xintao Wu:
HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks. CoRR abs/2309.08549 (2023) - [i2]Alycia N. Carey, Minh-Hao Van, Xintao Wu:
Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions. CoRR abs/2309.08678 (2023) - 2022
- [j1]Alycia N. Carey, Xintao Wu:
The Causal Fairness Field Guide: Perspectives From Social and Formal Sciences. Frontiers Big Data 5: 892837 (2022) - [c2]Alycia N. Carey, Wei Du, Xintao Wu:
Robust Personalized Federated Learning under Demographic Fairness Heterogeneity. IEEE Big Data 2022: 1425-1434 - [i1]Alycia N. Carey, Xintao Wu:
The Fairness Field Guide: Perspectives from Social and Formal Sciences. CoRR abs/2201.05216 (2022) - 2020
- [c1]Alycia N. Carey, Justin Zhan:
A Cancelable Multi-Modal Biometric Based Encryption Scheme for Medical Images. IEEE BigData 2020: 3711-3720
Coauthor Index
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