AsiaCCS 2021 - Benign Binaries

https://doi.org/10.1184/R1/14853870

dataset

posted on 2021-06-30, 19:13 authored by Mahmood SharifMahmood Sharif, Lujo Bauer, Keane LucasKeane Lucas

Benign binaries collected and used as part of our AsiaCCS 2021 work:<br><br>* Keane Lucas, Mahmood Sharif, Lujo Bauer, Michael K. Reiter, Saurabh Shintre. "Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes." Asia Conference on Computer and Communications Security (AsiaCCS). 2021.

Funding

Multidisciplinary University Research Initiative (MURI) Cyber Deception - ARO award W911NF-17-1-0370

NSF - grant 1801391

NSF - grant 2113345

National Security Agency - award H9823018D000

Gift from Google

Gift from Nvidia

Gift from Lockheed Martin through Carnegie Mellon CyLab

Gift from NATO through Carnegie Mellon CyLab

CyLab Presidential Fellowship

NortonLifeLock ResearchGroup Fellowship

DoD National Defense Science andEngineering Graduate fellowship

History

Date

2021-06-27

Usage metrics

Keywords

Adversarial Machine Learning Malware Detection Dataset Computer System Security

Licence

CC BY-NC-ND 4.0