|
|
|
|
|
Xie He, Arash Habibi Lashkari, Nikhill Vombatkere and Dilli Prasad Sharma
Over the past few decades, researchers have put their effort and paid significant attention to the authorship attribution field, as it plays an important role in software forensics analysis, plagiarism detection, security attack detection, and protection...
ver más
|
|
|
|
|
|
|
|
|
|
|
Leon Kopitar, Iztok Fister, Jr. and Gregor Stiglic
Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to im...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ioana Branescu, Octavian Grigorescu and Mihai Dascalu
Effectively understanding and categorizing vulnerabilities is vital in the ever-evolving cybersecurity landscape, since only one exposure can have a devastating effect on the entire system. Given the increasingly massive number of threats and the size of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Assaf B. Spanier, Dor Steiner, Navon Sahalo, Yoel Abecassis, Dan Ziv, Ido Hefetz and Shimon Kimchi
Fingerprint analysis has long been a cornerstone in criminal investigations for suspect identification. Beyond this conventional role, recent efforts have aimed to extract additional demographic information from fingerprints, such as gender, age, and nat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marko Jevtic, Sa?a Mladenovic and Andrina Granic
Due to the everchanging and evergrowing nature of programming technologies, the gap between the programming industry?s needs and the educational capabilities of both formal and informal educational environments has never been wider. However, the need to ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Valeria Mercuri, Martina Saletta and Claudio Ferretti
As the prevalence and sophistication of cyber threats continue to increase, the development of robust vulnerability detection techniques becomes paramount in ensuring the security of computer systems. Neural models have demonstrated significant potential...
ver más
|
|
|
|
|
|
|
|
|
|
|
Elena Fedorchenko, Evgenia Novikova, Andrey Fedorchenko and Sergei Verevkin
Currently, enhancing the efficiency of vulnerability detection and assessment remains relevant. We investigate a new approach for the detection of vulnerabilities that can be used in cyber attacks and assess their severity for further effective responses...
ver más
|
|
|
|
|
|
|
|
|
|
|
Martina Saletta and Claudio Ferretti
Deep neural networks have proven to be able to learn rich internal representations, including for features that can also be used for different purposes than those the networks are originally developed for. In this paper, we are interested in exploring su...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zoltán Szabó and Vilmos Bilicki
Due to the proliferation of large language models (LLMs) and their widespread use in applications such as ChatGPT, there has been a significant increase in interest in AI over the past year. Multiple researchers have raised the question: how will AI be a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Artyom V. Gorchakov, Liliya A. Demidova and Peter N. Sovietov
In this paper we consider the research and development of classifiers that are trained to predict the task solved by source code. Possible applications of such task detection algorithms include method name prediction, hardware?software partitioning, prog...
ver más
|
|
|
|
|
|