INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/25/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Privacy Vulnerabilities of Attention Layers in Tabular Foundation Models and Protection of High-Risk Queries arXiv:2606.26021v1 Announce Type: new Abstract: Tabular foundation models are commonly assumed to present limited privacy concerns as they are often pre-trained on large collections of synthetic data. However, these models leverage in-context learning, where sensitive records may be provided directly at inference time as labelled context examples. In this paper, we de…
https://arxiv.org/abs/2606.26021
sha256:fec735aeb8516256dea222239eb497422f7a26a914cd0045e0849064f59ce4b9
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ATT&CK techniques
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