A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks

15 March 2024

Papers citing "A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks"

8 / 8 papers shown

Title
Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction Felix Mächtle Nils Loose Tim Schulz Florian Sieck Jan-Niclas Serr Ralf Möller T. Eisenbarth 19 0 0 18 Apr 2025
A Systematic Literature Review on the Use of Machine Learning in Software Engineering Nyaga Fred I. O. Temkin 53 0 0 19 Jun 2024
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection Hazim Hanif S. Maffeis 50 92 0 25 May 2022
Literature review on vulnerability detection using NLP technology Jiajie Wu 29 11 0 23 Apr 2021
Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart Contracts Nami Ashizawa Naoto Yanai Jason Paul Cruz Shingo Okamura 38 70 0 07 Jan 2021
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning Jianlei Chi YunHuan Qu Ting Liu Q. Zheng Heng Yin 34 48 0 21 Oct 2020
A Literature Study of Embeddings on Source Code Zimin Chen Monperrus Martin 37 79 0 05 Apr 2019
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 29,632 0 16 Jan 2013