INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/29/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
AdvScan: Black-Box Adversarial Example Detection at Runtime through Power Analysis arXiv:2606.27704v1 Announce Type: new Abstract: TinyML models deployed on edge devices are increasingly adopted in safety/security-critical applications, making them a prime target for adversarial example (AE) attacks where inputs are modified to cause misclassifications. However, existing AE detection methods either require white-box model access, which is often unavailable in licensed black-…
https://arxiv.org/abs/2606.27704
sha256:41f481cacfdefa71d22d3599dea6d6b857b749757fe3d618303a5dbe8b9b80c7
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Threat actors mentioned
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ATT&CK techniques
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