Hey folks,
I’m knee deep in research on DL/ML and infosec and was wondering if anyone had any open source resources to run models on security data, however I am not sure if this type of data would be open source given the nature of the security industry. Anyone have any insights?
In the mean time, I’ve found some really good papers on this topic:
A Dynamic-Adversarial Mining Approach to the Security of Machine Learning
Tegjyot Singh Sethi, Mehmed Kantardzic, Lingyu Lyua, Jiashun Chen
Security Consideration For Deep Learning-Based Image Forensics
Wei Zhao, Pengpeng Yang, Rongrong Ni, Yao Zhao, Haorui Wu
Deep Learning for Malicious Flow Detection
Yun-Chun Chen, Yu-Jhe Li, Aragorn Tseng, Tsungnan Lin
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li
Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks
Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen
Automated software vulnerability detection with machine learning
Jacob A. Harer, Louis Y. Kim, Rebecca L. Russell, Onur Ozdemir, Leonard R. Kosta, Akshay Rangamani, Lei H. Hamilton, Gabriel I. Centeno, Jonathan R. Key, Paul M. Ellingwood, Marc W. McConley, Jeffrey M. Opper, Peter Chin, Tomo Lazovich
Evaluation of Machine Learning Algorithms for Intrusion Detection System
Mohammad Almseidin, Maen Alzubi, Szilveszter Kovacs, Mouhammd Alkasassbeh
Explaining Black-box Android Malware Detection
Marco Melis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, and Fabio Roli
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
Bojan Kolosnjaji, Ambra Demontis, Battista Biggio, Davide Maiorca, Giorgio Giacinto, Claudia Eckert, Fabio Roli