INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 5/20/2026, 4:00:00 AM · TLP amber
Summary
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Be Kind, Rewrite: Benign Projections via Rewriting Defend Against LLM Data Poisoning Attacks arXiv:2605.19147v1 Announce Type: new Abstract: Large language models (LLMs) are highly susceptible to backdoor attacks (BAs), wherein training samples are poisoned using trigger-based harmful content. Furthermore, existing defenses have proven ineffective when extensively tested across BA patterns. To better combat BAs, we explore the use of LLM rewriting as a proactive defense agai…
https://arxiv.org/abs/2605.19147
sha256:de0a4c5c4d76e96eaa32fa1d29941d2e595b6e3ea7ce335fa7be8438def8e004
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