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Malware Detection Using Transformers-based Model GPT-2
2021Zararlı içeriğin çeşitliliği, karmaşıklığının yanı sıra Bilgi ve İletişim Teknolojilerinin (BİT) son kullanıcılarını önemli ölçüde etkilemiştir. Zararlı içeriğin etkisini azaltmak, kullanıcı sistemlerini zararlı yazılımlara karşı proaktif olarak savunmak için otomatikleştirilmiş makine öğrenme teknikleri geliştirildi.
openaire +1 more source
Session details: Session 2: Malware Detection
Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, 2020openaire +1 more source
A comprehensive survey on deep learning based malware detection techniques
Computer Science Review, 2023Sibi Chakkaravarthy S
exaly
A Survey of Android Malware Detection with Deep Neural Models
ACM Computing Surveys, 2021Yang Xiang, Junyang Qiu
exaly
Peer Review #2 of "The rise of obfuscated Android malware and impacts on detection methods (v0.1)"
2022openaire +1 more source
Peer Review #2 of "The rise of obfuscated Android malware and impacts on detection methods (v0.2)"
2022openaire +1 more source
Malware Detection Issues, Challenges, and Future Directions: A Survey
Applied Sciences (Switzerland), 2022Fuad A Ghaleb +2 more
exaly
Peer Review #2 of "Windows malware detection based on static analysis with multiple features (v0.1)"
2023openaire +1 more source

