Karuna Bhaila

According to our database, Karuna Bhaila authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models.

Aneesh Komanduri, Karuna Bhaila, Xintao Wu

CoRR, June, 2025

Soft Prompting for Unlearning in Large Language Models.

Karuna Bhaila, Minh-Hao Van, Xintao Wu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Fair In-Context Learning via Latent Concept Variables.

Karuna Bhaila, Minh-Hao Van, Kennedy Edemacu, Chen Zhao, Feng Chen, Xintao Wu

CoRR, 2024

Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach.

Karuna Bhaila, Wen Huang, Yongkai Wu, Xintao Wu

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Cascading Failure Prediction in Power Grid Using Node and Edge Attributed Graph Neural Networks.

Karuna Bhaila, Xintao Wu

Proceedings of the International Joint Conference on Neural Networks, 2024

DP-TabICL: In-Context Learning with Differentially Private Tabular Data.

Alycia N. Carey, Karuna Bhaila, Kennedy Edemacu, Xintao Wu

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Randomized Response Has No Disparate Impact on Model Accuracy.

Alycia N. Carey, Karuna Bhaila, Xintao Wu

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Fair Collective Classification in Networked Data.

Karuna Bhaila, Yongkai Wu, Xintao Wu

Proceedings of the IEEE International Conference on Big Data, 2022