INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 5/14/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
LoREnc: Low-Rank Encryption for Securing Foundation Models and LoRA Adapters arXiv:2605.13163v1 Announce Type: new Abstract: Foundation models and low-rank adapters enable efficient on-device generative AI but raise risks such as intellectual property leakage and model recovery attacks. Existing defenses are often impractical because they require retraining or access to the original dataset. We propose LoREnc, a training-free framework that secures both FMs and adapters via …
https://arxiv.org/abs/2605.13163
sha256:e0666ff1732f6c09e4f8f5185c786449c6999da2e836fb624156f7c4c7051484
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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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