Fair Collective Classification in Networked Data. - Karuna Bhaila; Yongkai Wu; Xintao Wu (IEEE Big Data, 2022)

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

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

Cascading Failure Prediction in Power Grid Using Node and Edge Attributed Graph Neural Networks. - Karuna Bhaila; Xintao Wu (IJCNN, 2024)

Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach. - Karuna Bhaila; Wen Huang 003; Yongkai Wu; Xintao Wu (SDM, 2024)

Fair In-Context Learning via Latent Concept Variables. - Karuna Bhaila; Minh-Hao Van; Kennedy Edemacu; Chen Zhao 010; Feng Chen 001; Xintao Wu (CoRR, 2024)

Soft Prompting for Unlearning in Large Language Models. - Karuna Bhaila; Minh-Hao Van; Xintao Wu (NAACL (Long Papers), 2025)

CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models. - Aneesh Komanduri; Karuna Bhaila; Xintao Wu (CoRR, 2025)