Results 191 to 200 of about 19,343 (237)

CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities

International Conference on Machine Learning
Large language model (LLM) agents are increasingly capable of autonomously conducting cyberattacks, posing significant threats to existing applications.
Yuxuan Zhu, Antony Kellermann, Dylan Bowman, Phil Li, Akul Gupta, Adarsh Danda, Richard Fang, Conner Jensen, Eric Ihli, Jason Benn, Jet Geronimo, A. Dhir, S. Rao, Kaicheng Yu, Twm Stone, Daniel Kang   +15 more
semanticscholar   +1 more source

CVE-assisted large-scale security bug report dataset construction method

Journal of Systems and Software, 2020
Identifying SBRs (security bug reports) is crucial for eliminating security issues during software development. Machine learning are promising ways for SBR prediction.
Xiaoxue Wu, Wei Zheng, Xiang Chen, Fang Wang, Dejun Mu   +4 more
semanticscholar   +1 more source

Effective Vulnerable Function Identification based on CVE Description Empowered by Large Language Models

International Conference on Automated Software Engineering
Open-source software (OSS) has profoundly transformed the software development paradigm by facilitating effortless code reuse. However, in recent years, there has been an alarming increase in disclosed vulnerabilities within OSS, posing significant ...
Yulun Wu, Ming Wen, Zeliang Yu, Xiaochen Guo, Hai Jin   +4 more
semanticscholar   +1 more source

Automatically Identifying CVE Affected Versions With Patches and Developer Logs

IEEE Transactions on Dependable and Secure Computing
While vulnerability databases are important sources of information for software security, it is known that information in these databases is inconsistent. How to rectify these incorrect data is a challenging issue.
Yongzhong He, Yiming Wang, Sencun Zhu, Wei Wang, Yun-Jia Zhang, Qiang Li, Aimin Yu   +6 more
semanticscholar   +1 more source

Designing for and interacting with CVEs

ACM SIGGROUP Bulletin, 2000
As CVE technology matures there is a natural shift away from simply providing places or spaces for people to meet towards providing a useful, task-oriented environment that supports its participants in whatever it is they are doing. Notably, CVEs are collaborative environments, so in order to provide appropriate environments we need to understand what ...
Adrian Bullock, Lennart Fahlén
openaire   +1 more source

An Analysis of the Use of CVEs by IoT Malware

2021
In recent years, IoT malware has become a significant threat to the IoT infrastructure, to the point where it even hinders the deployment of this promising technology. A distinctive aspect of this threat is its reliance on vulnerabilities as an infection vector. Many of these vulnerabilities are CVEs (Common Vulnerability Enumeration) selected from the
Raphaël Khoury, Benjamin Vignau, Sylvain Hallé, Abdelwahab Hamou-Lhadj, Asma Razgallah   +4 more
openaire   +2 more sources

CVEs: a Review

1999
This chapter presents a review of the field of collaborative virtual environments. This focuses on multi-user virtual reality and in particular two issues which are central to this thesis: scopes of interaction (which is equivalent to awareness management) and communication architecture.
openaire   +1 more source

Analyzing CVE Database Using Unsupervised Topic Modelling

2019 International Conference on Computational Science and Computational Intelligence (CSCI), 2019
This paper describes our study of the vulnerability reports in the Common Vulnerability and Exposures (CVE) database by using topic modeling on the description texts of the vulnerabilities.
V. Mounika, Xiaohong Yuan, Kanishka Bandaru   +2 more
semanticscholar   +1 more source

The role of schools and education in countering violent extremism (CVE): applying lessons from Western countries to Australian CVE policy

Oxford Review of Education, 2019
In recent times there has been an increase in the number of young people becoming involved with violent extremist networks throughout Western countries.
Shandon Harris-Hogan, Kate Barrelle, Debra Smith   +2 more
semanticscholar   +1 more source

Auto-CVE: a coevolutionary approach to evolve ensembles in automated machine learning

Annual Conference on Genetic and Evolutionary Computation, 2019
Automated Machine Learning (Auto-ML) is a growing field receiving a lot of attention. Several techniques are being developed to address the question of how to automate the process of defining machine learning pipelines, using diverse types of approaches ...
Celio H. N. Larcher, H. Barbosa
semanticscholar   +1 more source