| Local differential privacy in graph neural networks: a reconstruction approach K Bhaila, W Huang, Y Wu, X Wu Proceedings of the 2024 SIAM International Conference on Data Mining (SDM), 1-9, 2024 | 3 | 2024 |
| Fair collective classification in networked data K Bhaila, Y Wu, X Wu 2022 IEEE International Conference on Big Data (Big Data), 1415-1424, 2022 | 2 | 2022 |
| 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 |
| Soft Prompting for Unlearning in Large Language Models K Bhaila, MH Van, X Wu arXiv preprint arXiv:2406.12038, 2024 | | 2024 |
| Cascading Failure Prediction in Power Grid Using Node and Edge Attributed Graph Neural Networks K Bhaila, X Wu 2024 IEEE Green Technologies Conference (GreenTech), 155-156, 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 |
Xintao WuUniversity of ArkansasVerified email at uark.edu
