Deep-Learning-based Vulnerability Detection in Binary Executables

25 November 2022

Papers citing "Deep-Learning-based Vulnerability Detection in Binary Executables"

9 / 9 papers shown

Title
Can Neural Decompilation Assist Vulnerability Prediction on Binary Code? D. Cotroneo F. C. Grasso R. Natella V. Orbinato 121 0 0 10 Dec 2024
Comparing Unidirectional, Bidirectional, and Word2vec Models for Discovering Vulnerabilities in Compiled Lifted Code Gary A. McCully John D. Hastings Shengjie Xu Adam Fortier 65 2 0 26 Sep 2024
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 201 5,454 0 07 Jul 2021
Bin2vec: Learning Representations of Binary Executable Programs for Security Tasks Shushan Arakelyan Sima Arasteh Christophe Hauser Erik Kline Aram Galstyan 40 19 0 09 Feb 2020
VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector Zhuguo Li Deqing Zou Shouhuai Xu Zhaoxuan Chen Yawei Zhu Hai Jin 53 187 0 08 Jan 2020
A Survey of Binary Code Similarity I. Haq Juan Caballero 31 136 0 25 Sep 2019
Effects of padding on LSTMs and CNNs Dwarampudi Mahidhar Reddy Subba Reddy 36 96 0 18 Mar 2019
Optimizing seed inputs in fuzzing with machine learning Liang Cheng Yang Zhang Yi Zhang Chen Henry Wu Zhangtan Li Yu Fu Haisheng Li 18 21 0 07 Feb 2019
Learn&Fuzz: Machine Learning for Input Fuzzing Patrice Godefroid Hila Peleg Rishabh Singh AAML 75 372 0 25 Jan 2017