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SOFTWARE VULNERABILITY DETECTION USING DEEP LEARNING

Vulnerabilities in software have remained a critical issue at the forefront of cybersecurity for as long as the field has existed. As the cost of allowing these vulnerabilities to exist increases each year, so have the efforts to detect software vulnerabilities before they can become a problem.
openaire   +1 more source

Source Code Vulnerability Detection Using Vulnerability Dependency Representation Graph

2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2022
Hongyu Yang   +3 more
openaire   +1 more source

Detecting landslide vulnerability using anisotropic microtremors and vulnerability index

Engineering Geology, 2023
Po-Hsiang Liu   +3 more
openaire   +1 more source

Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention

Ca-A Cancer Journal for Clinicians, 2017
Cynthia Morata-Tarifa   +1 more
exaly  

Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma

Ca-A Cancer Journal for Clinicians, 2020
Aaron J Grossberg   +2 more
exaly  

Detecting Vulnerability

John Charles Simon, Jennalee Donian
openaire   +1 more source

Oral complications of cancer and cancer therapy

Ca-A Cancer Journal for Clinicians, 2012
Joel B Epstein   +2 more
exaly  

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