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GitHub / ALFA-group / robust-adv-malware-detection
[IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O’Reilly
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ALFA-group%2Frobust-adv-malware-detection
Stars: 85
Forks: 40
Open Issues: 1
License: mit
Language: Python
Repo Size: 621 KB
Dependencies:
8
Created: over 6 years ago
Updated: 11 months ago
Last pushed: over 5 years ago
Last synced: 9 months ago
Topics: adversarial-machine-learning, adversarial-networks, binary-encoded, cybersecurity, deep-learning, malware, optimization, saddlepoint-approximation
Files
Dependencies
- ipdb ==0.10.3
- lief ==0.8.3.post3
- losswise ==1.3
- numpy ==1.13.3
- pandas ==0.21.0
- pybloomfiltermmap ==0.3.15
- scikit_learn ==0.19.1
- torch ==0.1.2.post1