Jeongho Yoon
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126
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Crypto×1AI×1
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2026
Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation
The paper introduces Privacy-Preserving Fine-Tuning (PPFT), a novel two-stage pipeline that allows LLMs to process sensitive data via pooled embeddings rather than raw text, achieving a strong balance between privacy and model performance.
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Papers
cs.CRcs.AIRecentApr 8, 2026
Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation
Jeongho Yoon, Chanhee Park, Yongchan Chun, Hyeonseok Moon +1 more
The paper introduces Privacy-Preserving Fine-Tuning (PPFT), a novel two-stage pipeline that allows LLMs to process sensitive data via pooled embeddings rather than raw text, achieving a strong balance…
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