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pro vyhledávání: '"Kumarasinghe, Udesh"'
Autor:
Kumarasinghe, Udesh, Lekssays, Ahmed, Sencar, Husrev Taha, Boughorbel, Sabri, Elvitigala, Charitha, Nakov, Preslav
We introduce a new method for extracting structured threat behaviors from threat intelligence text. Our method is based on a multi-stage ranking architecture that allows jointly optimizing for efficiency and effectiveness. Therefore, we believe this
Externí odkaz:
http://arxiv.org/abs/2403.17068
With nearly 2.5m users, onion services have become the prominent part of the darkweb. Over the last five years alone, the number of onion domains has increased 20x, reaching more than 700k unique domains in January 2022. As onion services host variou
Externí odkaz:
http://arxiv.org/abs/2209.07202
In order to advance the state of the art in graph learning algorithms, it is necessary to construct large real-world datasets. While there are many benchmark datasets for homogeneous graphs, only a few of them are available for heterogeneous graphs.
Externí odkaz:
http://arxiv.org/abs/2203.07969