Distributed Computing and Artificial Intelligence, Special Sessions I, 21st International Conference
| Korporativní autor: | |
|---|---|
| Další autoři: | , , , , , , , |
| Shrnutí: | XVII, 431 p. 113 illus., 87 illus. in color. text |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| Vydání: | 1st ed. 2025. |
| Edice: | Lecture Notes in Networks and Systems,
1198 |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-3-031-76459-2 |
| Médium: | Elektronický zdroj Kniha |
Obsah:
- Efficient Network Traffic Feature Sets for IoT Intrusion Detection
- Adversarial Evasion Attack Efficiency against Large Language Models
- ModSec-Learn: Boosting ModSecurity with Machine Learning
- SCoPE: Evaluating LLMs for Software Vulnerability Detection, etc.