[QA] Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs
Update: 2025-08-14
Description
This paper explores filtering dual-use topics from training data to enhance the tamper-resistance of open-weight AI systems, demonstrating significant improvements in adversarial fine-tuning resistance without degrading unrelated capabilities.
https://arxiv.org/abs//2508.06601
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