FPR manipulation attack perturbs benign MQTT packets to flip labels to attacks in NIDS with 80-100% success, increasing SOC delays without gradient-based methods.
Adversarial malware binaries: Evading deep learning for malware detection in executables
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An explainability-guided attack perturbs key function calls in linearized CFGs to evade transformer malware detectors on Windows PE datasets.
citing papers explorer
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Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks
FPR manipulation attack perturbs benign MQTT packets to flip labels to attacks in NIDS with 80-100% success, increasing SOC delays without gradient-based methods.
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Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control Flow Graphs
An explainability-guided attack perturbs key function calls in linearized CFGs to evade transformer malware detectors on Windows PE datasets.