Vulnerability Detection with Fine-grained Interpretations

19 June 2021

Papers citing "Vulnerability Detection with Fine-grained Interpretations"

6 / 56 papers shown

Title
Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection Benjamin Steenhoek Hongyang Gao Wei Le 43 28 0 15 Dec 2022
SoK: Explainable Machine Learning for Computer Security Applications A. Nadeem D. Vos Clinton Cao Luca Pajola Simon Dieck Robert Baumgartner S. Verwer 34 40 0 22 Aug 2022
MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks Sicong Cao Xiaobing Sun Lili Bo Rongxin Wu Bin Li Chuanqi Tao 24 94 0 05 Mar 2022
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements Yangruibo Ding Sahil Suneja Yunhui Zheng Jim Laredo Alessandro Morari Gail E. Kaiser Baishakhi Ray AAML 22 48 0 20 Dec 2021
ROMEO: Exploring Juliet through the Lens of Assembly Language C. Brust Tim Sonnekalb Bernd Gruner 17 2 0 13 Dec 2021
A Survey on Data-driven Software Vulnerability Assessment and Prioritization T. H. Le Huaming Chen Muhammad Ali Babar 24 78 0 18 Jul 2021