كتاب إلكتروني

Extended Abstract: Assessing Language Models for Semantic Textual Similarity in Cybersecurity

التفاصيل البيبلوغرافية
العنوان: Extended Abstract: Assessing Language Models for Semantic Textual Similarity in Cybersecurity
المؤلفون: Soltani, ArianAff28, Nkashama, DJeff KandaAff28, Masakuna, Jordan FelicienAff28, Frappier, MarcAff28, Tardif, Pierre-MartinAff28, Kabanza, FrodualdAff28
المساهمون: Hartmanis, Juris, Founding EditorAff1, van Leeuwen, Jan, Series EditorAff2, Hutchison, David, Editorial Board MemberAff3, Kanade, Takeo, Editorial Board MemberAff4, Kittler, Josef, Editorial Board MemberAff5, Kleinberg, Jon M., Editorial Board MemberAff6, Kobsa, Alfred, Series EditorAff7, Mattern, Friedemann, Editorial Board MemberAff8, Mitchell, John C., Editorial Board MemberAff9, Naor, Moni, Editorial Board MemberAff10, Nierstrasz, Oscar, Series EditorAff11, Pandu Rangan, C., Editorial Board MemberAff12, Sudan, Madhu, Series EditorAff13, Terzopoulos, Demetri, Editorial Board MemberAff14, Tygar, Doug, Editorial Board MemberAff15, Weikum, Gerhard, Series EditorAff16, Vardi, Moshe Y, Series EditorAff17, Goos, Gerhard, Founding EditorAff18, Bertino, Elisa, Editorial Board MemberAff19, Gao, Wen, Editorial Board MemberAff20, Steffen, Bernhard, Editorial Board MemberAff21, Yung, Moti, Editorial Board MemberAff22, Woeginger, Gerhard, Editorial Board MemberAff23, Maggi, Federico, editorAff24, Egele, Manuel, editorAff25, Payer, Mathias, editorAff26, Carminati, Michele, editorAff27
المصدر: Detection of Intrusions and Malware, and Vulnerability Assessment : 21st International Conference, DIMVA 2024, Lausanne, Switzerland, July 17–19, 2024, Proceedings. 14828:370-380
قاعدة البيانات: Springer Nature eBooks
الوصف
ردمك:9783031641701
9783031641718
DOI:10.1007/978-3-031-64171-8_19