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News/From Prompts to Responses: Dual-Sided Data Leakage and Defense in Split Large Language Models
arxiv
PublishedJune 15, 2026 at 4:00 AM
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From Prompts to Responses: Dual-Sided Data Leakage and Defense in Split Large Language Models

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arXiv:2606.14210v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed in privacy-sensitive domains, where users must balance the risk of data exposure through external APIs against the high computational cost of local deployment. Split learning has therefore emerge

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