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Yoonji Kim

2 accepted papers

2025

Fuzzy Contrastive Decoding to Alleviate Object Hallucination in Large Vision-Language Models

ICCV 2025poster

Large vision-language models (LVLMs) often exhibit object hallucination, a phenomenon where models generate descriptions of non-existent objects within images. Prior methods have sought to mitigate this issue by adjusting model logits to reduce linguistic bias, but they often lack precise control ov…

2023

Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup

CVPR 2023poster

Deep neural networks are widely known to be susceptible to adversarial examples, which can cause incorrect predictions through subtle input modifications. These adversarial examples tend to be transferable between models, but targeted attacks still have lower attack success rates due to significant…