njrat-config-analyzer:Best RAT Builder Analysis Tool 2026 for Cybersecurity Education & Malware Detection
siming:Behavioral Grammar: detecting adaptive malware via tiny language-model priors and second-order temporal analysis. 0.88M-param self-supervised HIDS — 93% detection vs adaptive adversarial agent at 3.84% onboarding FPR.
robust-adv-malware-detection:[IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O’Reilly
ML-Executable-Malware-Detector:An offline, machine learning-powered static analysis tool that detects malware in Windows executables using LightGBM and the EMBER dataset.