Results 11 to 20 of about 1,733,152 (310)
Physical vulnerability to dynamic flooding: Vulnerability curves and vulnerability indices
Journal of Hydrology, 2022 Vulnerability analysis is crucial to assess natural hazard risk. Methods for vulnerability assessment include indices as well as vulnerability curves. Vulnerability curves make use of empirical data to show the relationship between the process intensity and the resulting degree of loss on each affected building whereas vulnerability indices are based ...
Maria Papathoma-Köhle +2 more
exaly +2 more sources
Age, Culture, Humanities: An Interdisciplinary Journal, 2022 ---
Julia Henderson, Kim Sawchuk
openaire +3 more sources
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection [PDF]
International Symposium on Recent Advances in Intrusion Detection, 2023 We propose and release a new vulnerable source code dataset. We curate the dataset by crawling security issue websites, extracting vulnerability-fixing commits and source codes from the corresponding projects.
Yizheng Chen +4 more
semanticscholar +1 more source
Targeting ferroptosis as a vulnerability in cancer
Nature Reviews. Cancer, 2022 Ferroptosis is an iron-dependent form of regulated cell death that is triggered by the toxic build-up of lipid peroxides on cellular membranes. In recent years, ferroptosis has garnered enormous interest in cancer research communities, partly because it ...
Guang Lei, Zhuang Li, B. Gan
semanticscholar +1 more source
Vulnerability detection with fine-grained interpretations [PDF]
ESEC/SIGSOFT FSE, 2021 Despite the successes of machine learning (ML) and deep learning (DL)-based vulnerability detectors (VD), they are limited to providing only the decision on whether a given code is vulnerable or not, without details on what part of the code is relevant ...
Yi Li, Shaohua Wang, T. Nguyen
semanticscholar +1 more source
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks [PDF]
IEEE Working Conference on Mining Software Repositories, 2022 Current machine-learning based software vulnerability detection methods are primarily conducted at the function-level. However, a key limitation of these methods is that they do not indicate the specific lines of code contributing to vulnerabilities ...
David Hin +3 more
semanticscholar +1 more source
Climate Change 2022 – Impacts, Adaptation and Vulnerability
, 2023 The Working Group II contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) provides a comprehensive assessment of the scientific literature relevant to climate change impacts, adaptation and vulnerability ...
Dr. Kirstin K. Holsman
semanticscholar +1 more source
Data Quality for Software Vulnerability Datasets [PDF]
International Conference on Software Engineering, 2023 The use of learning-based techniques to achieve automated software vulnerability detection has been of longstanding interest within the software security domain.
Roland Croft +2 more
semanticscholar +1 more source
DHODH-mediated ferroptosis defense is a targetable vulnerability in cancer
Nature, 2021 Ferroptosis, a form of regulated cell death that is induced by excessive lipid peroxidation, is a key tumour suppression mechanism1–4. Glutathione peroxidase 4 (GPX4)5,6 and ferroptosis suppressor protein 1 (FSP1)7,8 constitute two major ferroptosis ...
Chao Mao +12 more
semanticscholar +1 more source
Deep Learning Based Vulnerability Detection: Are We There Yet? [PDF]
IEEE Transactions on Software Engineering, 2020 Automated detection of software vulnerabilities is a fundamental problem in software security. Existing program analysis techniques either suffer from high false positives or false negatives.
Saikat Chakraborty +3 more
semanticscholar +1 more source