INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/2/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning arXiv:2606.00160v1 Announce Type: new Abstract: Large language models (LLMs) suffer from degraded safety capabilities even when fine-tuned with benign datasets. However, existing methods for identifying safety-degrading samples in benign datasets suffer from high computational costs and significant noise issues. In this paper, we propose DataShield to efficiently and effectively identify poten…
https://arxiv.org/abs/2606.00160
sha256:f154b46a2c94d1b10c8804320e83358925dc2c553a2bc2900e1906b9c674165d
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ATT&CK techniques
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