RESEARCHMonitorWATCHLIST
Prune the Leaky Neurons: Mitigating Private Data Leakage in Fine-Tuned LLMs via Joint-Embedding-Guided Pruning
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers proposed a joint-embedding pruning method to remove privacy-leaking neurons from fine-tuned LLMs without degrading performance.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 19 October 2026
- Collected by OneBench
- 20 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2610.22792v1 Announce Type: new Abstract: Fine-tuning large language models (LLMs) on proprietary records enables domain adaptation but introduces two challenges: (i) privacy leakage of memorized…
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