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MalPurifier: Adversarial Purification for Android Malware Detection

other · 2026-05-07

Researchers propose MalPurifier, an adversarial purification framework to enhance Android malware detection against evasion attacks. The framework integrates three innovations: a diversified adversarial perturbation mechanism, protective noise injection for benign data, and a Denoising AutoEncoder with dual-objective loss. It aims to improve robustness and generalization over existing defensive methods.

Key facts

  • MalPurifier is an adversarial purification framework for Android malware detection.
  • It addresses evasion attacks on ML-based detection systems.
  • Three innovations: diversified adversarial perturbation, protective noise injection, DAE with dual-objective loss.
  • Aims to improve robustness and generalization.
  • Published on arXiv with ID 2312.06423.

Entities

Institutions

  • arXiv

Sources