An Adversarial Robust Behavior Sequence Anomaly Detection Approach Based on Critical Behavior Unit Learning

Documenti analoghi

• A Practical Adversarial Attack against Sequence-based Deep Learning Malware Classifiers
  di: Tan, Kai, et al.
  Pubblicazione: (2025)
• Anomaly Detection in Industrial Control Systems Based on Cross-Domain Representation Learning
  di: Zhan, Dongyang, et al.
  Pubblicazione: (2025)
• Malicious ML Model Detection by Learning Dynamic Behaviors
  di: Nambiar, Sarang, et al.
  Pubblicazione: (2026)
• Killing Two Birds with One Stone: Malicious Package Detection in NPM and PyPI using a Single Model of Malicious Behavior Sequence
  di: Zhang, Junan, et al.
  Pubblicazione: (2023)
• Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views
  di: Meng, Zhaoyi, et al.
  Pubblicazione: (2024)