Quantifying and Prioritizing Stealthy Source-Manipulation Threats Against Multi-Source Anomaly Detectors

Reported by arXiv cs.CR (Indraveni Chebolu, Seema Panghal, Arnab Mallick, Ch A S Murty)

Summary by Cyber Security News28 Oct 2026, 05:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2610.36693

arXiv:2610.36693v1 Announce Type: new Abstract: Security pipelines often fuse several data sources and protect a downstream model with a cross-source anomaly detector. Such detectors are usually judged by their clean false-positive rate and by how well they catch random corruption. Neither metric captures an adversary who controls some sources and targets a specific downstream decision.

Read the full article at arXiv cs.CR →

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