Learning the PE Header, Malware Detection with Minimal Domain Knowledge

5 September 2017

Papers citing "Learning the PE Header, Malware Detection with Minimal Domain Knowledge"

7 / 7 papers shown

Title
Automated Machine Learning for Deep Learning based Malware Detection Austin R. Brown Maanak Gupta Mahmoud Abdelsalam 38 37 0 03 Mar 2023
MalDetConv: Automated Behaviour-based Malware Detection Framework Based on Natural Language Processing and Deep Learning Techniques Pascal Maniriho A. N. Mahmood M. Chowdhury 19 7 0 08 Sep 2022
Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS Mohit Sewak S. K. Sahay Hemant Rathore 17 7 0 26 Dec 2020
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification Edward Raff Charles K. Nicholas AAML 29 54 0 15 Jun 2020
Neurlux: Dynamic Malware Analysis Without Feature Engineering Chani Jindal Christopher Salls H. Aghakhani Keith Long Christopher Kruegel Giovanni Vigna 11 62 0 24 Oct 2019
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware Abdullah Al-Dujaili Alex Huang Erik Hemberg Una-May O’Reilly AAML 25 186 0 09 Jan 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,748 0 26 Sep 2016