Report Open Access

amsqr at MLSEC-2021: Thwarting Adversarial Malware Evasion with a Defense-in-Depth

Mosquera, Alejandro

BibTeX Export

@misc{mosquera_alejandro_2021_5534783,
  author       = {Mosquera, Alejandro},
  title        = {{amsqr at MLSEC-2021: Thwarting Adversarial Malware 
                   Evasion with a Defense-in-Depth}},
  month        = sep,
  year         = 2021,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.5534783},
  url          = {https://doi.org/10.5281/zenodo.5534783}
}
278
199
views
downloads
All versions This version
Views 278278
Downloads 199199
Data volume 16.9 MB16.9 MB
Unique views 229229
Unique downloads 179179
More info on how stats are collected.
Indexed in
Publication date:
September 28, 2021
DOI:
10.5281/zenodo.5534783

Zenodo DOI Badge

DOI 

10.5281/zenodo.5534783

Markdown 

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5534783.svg)](https://doi.org/10.5281/zenodo.5534783)

reStructedText 

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.5534783.svg
   :target: https://doi.org/10.5281/zenodo.5534783

HTML 

<a href="https://doi.org/10.5281/zenodo.5534783"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.5534783.svg" alt="DOI"></a>

Image URL 

https://zenodo.org/badge/DOI/10.5281/zenodo.5534783.svg

Target URL 

https://doi.org/10.5281/zenodo.5534783

Keyword(s):
Adversarial machine learning Malware detection MLSEC Static malware detection
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1 10.5281/zenodo.5534783 Sep 28, 2021
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.5534782. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export