dogear

enter for all results · esc to close

SecML Malware

github.comtool

Create adversarial attacks against machine learning Windows malware detectors.

from
Executable Packing
added
2026-10-10
likes
0

similar

  1. Adversarial malware binaries: Evading deep learning for malware detection in executables ieeexplore.ieee.org

    (September 2018) :star:

  2. Automatic generation of adversarial examples for interpreting malware classifiers semanticscholar.org

    (March 2020)

  3. Auditing static machine learning anti-Malware tools against metamorphic attacks linkinghub.elsevier.com

    (March 2021) :star:

  4. Deceiving end-to-end deep learning malware detectors using adversarial examples arxiv.org

    (January 2019) :star:

  5. Building a smart and automated tool for packed malware detections using machine learning dial.uclouvain.be

    (June 2020)

  6. MAB-Malware: A reinforcement learning framework for attacking static malware classifiers arxiv.org

    (April 2021) :star:

Executable Packing › :wrench: Tools: “Create adversarial attacks against machine learning Windows malware detectors.”