Trigger Value Selection in Clean-Label Malware Backdoors: An Effectiveness-Detectability Analysis
Researchers show trigger-value choice changes success and detectability of clean-label backdoors in malware classifiers.
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Researchers show trigger-value choice changes success and detectability of clean-label backdoors in malware classifiers.
SAGE flags clean-label training poisons from a handful of expert-verified examples using similarity-weighted prediction.
RAMP uses reversed adversarial perturbations to strengthen clean-label backdoors against malware detectors.
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