Software Vulnerabilities (SVs) are increasing in complexity and scale, posing great security
risks to many software systems. Given the limited resources in practice, SV assessment and …

Machine Learning (ML) represents a pivotal technology for current and future information
systems, and many domains already leverage the capabilities of ML. However, deployment …

Social media is used to commit and detect crimes. With automated methods, it is possible to
scale both crime and detection of crime to a large number of people. The ability of criminals …

The number of newly published vulnerabilities is constantly increasing. Until now, the
information available when a new vulnerability is published is manually assessed by experts …

Cybercrime affects companies worldwide, costing millions of dollars annually. The constant
increase of threats and vulnerabilities raises the need to handle vulnerabilities in a …

Vulnerabilities represent a constant and growing risk for organizations. Their successful
exploitation compromises the integrity and availability of systems. The use of specialized …

The thesis advances the field of software security by providing knowledge and automation
support for software vulnerability assessment using data-driven approaches. Software …

A system for the automated construction of the components of the vulnerability metrics and a
quantitative assessment of the severity of a vulnerability based on the analysis of its textual …

摘要图深度学习技术在处理非欧氏结构数据中显示了巨大潜力, 大量研究工作尝试将图嵌入或图
神经网络应用到漏洞检测中. 梳理了基于图深度学习的漏洞检测方法, 按其一般流程 …

Proper cybersecurity requires timely information to defend the IT infrastructure. In a dynamic
field like cybersecurity, gathering up-to-date information is usually a manual, time …