INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 7/13/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Statistically Undetectable Backdoors in Deep Neural Networks arXiv:2607.09532v1 Announce Type: cross Abstract: We show how an adversarial model trainer can plant backdoors in a large class of deep, feedforward neural networks. These backdoors are statistically undetectable in the white-box setting, meaning that the backdoored and honestly trained models are close in total variation distance, even given the full descriptions of the models (e.g., all of the weights). The backd…
https://arxiv.org/abs/2607.09532
sha256:e45f940ea791f25a684cc0ff68b84a83d37e41701cf009100d17397fa8fadf15
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ATT&CK techniques
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