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Wonjun Lee

4 papers hereh-index 313 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.CR1
same name
  • Wonjun Lee — 13 papers, h 15
  • Wonjun Lee — 11 papers, h 2
  • Wonjun Lee — 9 papers, h 3
  • Wonjun Lee — 8 papers, h 4
  • Wonjun Lee — 8 papers, h 2
  • Wonjun Lee — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedMaximizing the Position Embedding for Vision Transformers with Global Average Pooling

3 citations · 3 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CR2026

Defending Against Dormant Poisoning Attacks Across Language and Multimodal Agents

Wonjun Lee, Vaidehi Patil, Zaid Khan +4

Recent work shows that attackers can implant dormant malicious behaviors that remain hidden at release but emerge after benign fine-tuning. As foundation models are used as agents,…

cs.CV2025

Jailbreaking on Text-to-Video Models via Scene Splitting Strategy

Wonjun Lee, Haon Park, Doehyeon Lee +2

Along with the rapid advancement of numerous Text-to-Video (T2V) models, growing concerns have emerged regarding their safety risks. While recent studies have explored vulnerabilit…

cs.CV2025★ 3 cited

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling

Wonjun Lee, Bumsub Ham, Suhyun Kim

In vision transformers, position embedding (PE) plays a crucial role in capturing the order of tokens. However, in vision transformer structures, there is a limitation in the expre…

cs.CV2025

ELITE: Enhanced Language-Image Toxicity Evaluation for Safety

Wonjun Lee, Doehyeon Lee, Eugene Choi +5

Current Vision Language Models (VLMs) remain vulnerable to malicious prompts that induce harmful outputs. Existing safety benchmarks for VLMs primarily rely on automated evaluation…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.