Papers by Xinpeng Ti

1 papers
Towards Reverse Engineering of Language Models: A Survey (2025.findings-emnlp)

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Challenge: Due to the vast amounts of data and computational resources required for model development, protecting the model’s parameters and training data has become an urgent and crucial concern.
Approach: They define "reverse engineering" techniques as attacks on large language models and provide an in-depth analysis of them.
Outcome: The proposed attacks are described as “reverse engineering” techniques on LMs and provide an introduction to existing protective strategies.

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