3 papers
eess.IV2025
SLIM: Semantic-based Low-bitrate Image compression for Machines
Hyeonjin Lee, Jun-Hyuk Kim, Jong-Seok Lee
In recent years, the demand of image compression models for machine vision has increased dramatically. However, the training frameworks of image compression still focus on the visi…
cs.CL2025
SGPO: Self-Generated Preference Optimization based on Self-Improver
Hyeonji Lee, Daejin Jo, Seohwan Yun +1
Large language models (LLMs), despite their extensive pretraining on diverse datasets, require effective alignment to human preferences for practical and reliable deployment. Conve…
cs.CR2025
LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge
Sahar Abdelnabi, Aideen Fay, Ahmed Salem +22
Indirect prompt injection attacks exploit a fundamental weakness of LLMs: executing unauthorized tasks from untrusted sources. Despite the practical significance of this attack vec…