Hunting for Truth: Analyzing Explanation Methods in Learning-based Vulnerability Discovery-Reference-Cited by-同舟云学术

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Hunting for Truth: Analyzing Explanation Methods in Learning-based Vulnerability Discovery

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P)
language:
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Author:

Ganz Tom¹,Rall Philipp²,Härterich Martin¹,Rieck Konrad³

Affiliation:

1. SAP SE,Karlsruhe,Germany

2. Technische Universität Darmstadt,Darmstadt,Germany

3. Technische Universität Berlin,Berlin,Germany

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190357/10190476/10190498.pdf?arnumber=10190498

Reference58 articles.

1. Deep learning based vulnerability detection: Are we there yet;chakraborty;IEEE Transactions on Software Engineering,2021

2. Defuzz: Deep learning guided directed fuzzing;zhu;CoRR,2020

3. Deep learning based vulnerability detection: Are we there yet?;chakraborty;IEEE Transactions on Software Engineering,2020

4. Deep-wukong: Statically detecting software vulnerabilities using deep graph neural network;cheng;ACM Trans Softw Eng Methodol 1 1 Article,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PAVUDI: Patch-based Vulnerability Discovery using Machine Learning;Annual Computer Security Applications Conference;2023-12-04

2. Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery;Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security;2023-11-26

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