INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 5/19/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Asking Back: Interaction-Layer Antidistillation Watermarks arXiv:2605.16462v1 Announce Type: new Abstract: Detecting unauthorized knowledge distillation from a deployed LLM API is hard because the defender controls neither the attacker's training pipeline nor the next-token logits. Existing defenses operate on the teacher's output tokens -- biasing the next-token distribution (green-list watermarks, cryptographic schemes, antidistillation sampling) or rewriting outputs after…
https://arxiv.org/abs/2605.16462
sha256:04d8057af33d9968af5ad64d6c9788803c80611f1eb285ca3de3b1930af63295
What we pulled out
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Malware families
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Threat actors mentioned
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ATT&CK techniques
MITRE IDs referenced in text and present in local technique table.
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