arxiv
PublishedJuly 22, 2026 at 4:00 AM
Budgeted Indirect Adversarial Attack on Graph-Based Anomaly Detection in Sensor Networks
Publisher summary· verbatim
arXiv:2509.17987v2 Announce Type: replace Abstract: Graph Neural Networks (GNNs) have emerged as powerful models for anomaly detection in sensor networks, particularly when analyzing multivariate time series. In this work, we introduce BETA, a novel indirect evasion attack targeting such GNN-based d
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Originally published on arxiv ↗