Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security

31 March 2020

Papers citing "Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security"

4 / 4 papers shown

Title
AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports Lukas Lange Marc Müller G. H. Torbati Dragan Milchevski Patrick Grau S. Pujari Annemarie Friedrich 78 0 0 11 Apr 2024
Exploring the Limits of Transfer Learning with Unified Model in the Cybersecurity Domain Kuntal Kumar Pal Kazuaki Kashihara Ujjwala Anantheswaran Kirby Kuznia S. Jagtap Chitta Baral AAML 34 3 0 20 Feb 2023
Protection of the patient data against intentional attacks using a hybrid robust watermarking code Ahmad M. Nagm M. Elwan 60 8 0 17 Oct 2021
An Automated, End-to-End Framework for Modeling Attacks From Vulnerability Descriptions Hodaya Binyamini Ron Bitton Masaki Inokuchi T. Yagyu Yuval Elovici A. Shabtai 120 11 0 10 Aug 2020