INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/15/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
From Prompts to Responses: Dual-Sided Data Leakage and Defense in Split Large Language Models arXiv:2606.14210v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed in privacy-sensitive domains, where users must balance the risk of data exposure through external APIs against the high computational cost of local deployment. Split learning has therefore emerged as a promising paradigm for LLM fine-tuning and inference under limited local resourc…
https://arxiv.org/abs/2606.14210
sha256:66431e929d596cfbc722f6230e7c8844b591f4b9b31a827dfaf5cbe962d7b250
What we pulled out
Deterministic extractor (IOC + allowlisted tokens + ATT&CK IDs present in DB).
Indicators
Linked with report → mentions → indicator. Values open the indicator workspace.
Malware families
Allowlist token matches only.
Threat actors mentioned
Allowlist mentions — not a formal attribution verdict.
ATT&CK techniques
MITRE IDs referenced in text and present in local technique table.
CONTINUE INVESTIGATION
High-signal pivots without leaving the thread you started in search.
Browse the report corpus.
Neighborhood from the first linked indicator.