Summary of Research Findings:

• This presentation covered 12 papers on large language models in Model Tampering Attacks and Detection
• Research shows significant progress in applying LLMs to this domain
• Key challenges include data quality, model size, and domain adaptation
• Future work will likely focus on improved efficiency and specialized applications