INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 5/11/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
TENNOR: Trustworthy Execution for Neural Networks through Obliviousness and Retrievals arXiv:2605.07160v1 Announce Type: new Abstract: Training wide neural networks on sensitive data in untrusted cloud environments requires simultaneously achieving computational efficiency and rigorous privacy guarantees. Sparsification techniques, essential for scalable training of wide layers, expose input-dependent memory-access patterns (i.e., leakage) that are visible and can be exploit…
https://arxiv.org/abs/2605.07160
sha256:0083ed4b3c1c0ef44567abb6a14f5e3330dd147e2860e61b0950b42570244386
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Threat actors mentioned
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ATT&CK techniques
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