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).
From Compression to Accountability: Harmless Copyright Protection for Dataset Distillation arXiv:2605.12942v1 Announce Type: new Abstract: Large-scale datasets have been a key driving force behind the rapid progress of deep learning, but their storage, computational, and energy costs have become increasingly prohibitive. Dataset distillation (DD) mitigates this problem by synthesizing compact yet informative datasets, thereby enabling efficient model training and storage. Ho…
https://arxiv.org/abs/2605.12942
sha256:9f317ba8ae12e67a6ea11ce33dbfb8bf0075322f25c71d9d46b5851847d83f9a
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Indicators
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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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