6 citations · 8 across the 12 of their papers we have counts for
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cs.CR2026
GRASP -- Graph-Based Anomaly Detection Through Self-Supervised Classification
Robin Buchta, Carsten Kleiner, Felix Heine +1
Advanced persistent threat (APT) attacks remain difficult to detect due to their stealth, adaptability, and use of legitimate system components. Provenance-based intrusion detectio…
cs.CR2021★ 6 cited
Realizable Universal Adversarial Perturbations for Malware
Raphael Labaca-Castro, Luis Muñoz-González, Feargus Pendlebury +3
Machine learning classifiers are vulnerable to adversarial examples -- input-specific perturbations that manipulate models' output. Universal Adversarial Perturbations (UAPs), whic…