INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 5/15/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
One Step to the Side: Why Defenses Against Malicious Finetuning Fail Under Adaptive Adversaries arXiv:2605.14605v1 Announce Type: new Abstract: Model providers increasingly release open weights or allow users to fine-tune foundation models through APIs. Although these models are safety-aligned before release, their safeguards can often be removed by fine-tuning on harmful data. Recent defenses aim to make models robust to such malicious fine-tuning, but they are largely eval…
https://arxiv.org/abs/2605.14605
sha256:c67b899f917eaf07eb72f7e27b87d2c7f32e8ae069c3903d60a6872fea50f965
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Threat actors mentioned
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ATT&CK techniques
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