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Kangsoo Jung

2 accepted papers

2026

Protection against Source Inference Attacks in Federated Learning

ICLR 2026poster

Federated Learning (FL) was initially proposed as a privacy-preserving machine learning paradigm. However, FL has been shown to be susceptible to a series of privacy attacks. Recently, there has been concern about the Source Inference Attack (SIA), where an honest-but-curious central server attempts…

Cited by 0SourceScholar
2025

DocVXQA: Context-Aware Visual Explanations for Document Question Answering

ICML 2025poster

We propose **DocVXQA**, a novel framework for visually self-explainable document question answering, where the goal is not only to produce accurate answers to questions but also to learn visual heatmaps that highlight critical regions, offering interpretable justifications for the model decision. To…