| The Causal Fairness Field Guide: Perspectives from Social and Formal Sciences AN Carey, X Wu Frontiers in Big Data, 41, 2022 | 32 | 2022 |
| The Statistical Fairness Field Guide: Perspectives from Social and Formal Sciences AN Carey, X Wu AI & Ethics, 2022 | 18 | 2022 |
| A cancelable multi-modal biometric based encryption scheme for medical images AN Carey, J Zhan 2020 IEEE International Conference on Big Data (Big Data), 3711-3720, 2020 | 10 | 2020 |
| On the explanation and implementation of three open-source fully homomorphic encryption libraries A Carey | 8 | 2020 |
| Robust personalized federated learning under demographic fairness heterogeneity AN Carey, W Du, X Wu 2022 IEEE International Conference on Big Data (Big Data), 1425-1434, 2022 | 4 | 2022 |
| SAGE Intrusion Detection System: Sensitivity Analysis Guided Explainability for Machine Learning. MR Smith, E Acquesta, A Ames, AN Carey, CR Cuellar, RV Field, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | 2 | 2021 |
| DP-TabICL: In-Context Learning with Differentially Private Tabular Data AN Carey, K Bhaila, K Edemacu, X Wu arXiv preprint arXiv:2403.05681, 2024 | 1 | 2024 |
| Robust Influence-based Training Methods for Noisy Brain MRI MH Van, AN Carey, X Wu arXiv preprint arXiv:2403.10698, 2024 | | 2024 |
| Randomized Response Has No Disparate Impact on Model Accuracy AN Carey, K Bhaila, X Wu 2023 IEEE International Conference on Big Data (BigData), 5460-5465, 2023 | | 2023 |
| HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks MH Van, AN Carey, X Wu 2023 IEEE International Conference on Data Mining (ICDM), 608-617, 2023 | | 2023 |
| Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions AN Carey, MH Van, X Wu arXiv preprint arXiv:2309.08678, 2023 | | 2023 |
| Differentially Private DBSCAN via Subsampling. A Carey, M Smith, N Pattengale, M Negus, J Roose Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| EMLAT: Explainable Machine Learning for Alert Triage. A Carey, A Goyal, T Quig Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Private yet Explainable Artificial Intelligence (PyE-AI). A Carey, M Negus, N Pattengale, J Roose, M Smith Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| The Fairness Field Guide: Perspectives from Social and Formal Sciences AN Carey, X Wu https://arxiv.org/abs/2201.05216, 2022 | | 2022 |
| Privacy-Preserving AutoML. A Carey, N Pattengale Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | | 2021 |
| Adversarial attacks against image-based malware detection using autoencoders AN Carey, H Mai, J Zhan, A Mehmood Pattern Recognition and Tracking XXXII 11735, 48-56, 2021 | | 2021 |
Xintao WuUniversity of ArkansasПотвърден имейл адрес: uark.edu
