Deployable machine learning for security defense First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020 : proceedings
Gespeichert in:
| Körperschaft: | |
|---|---|
| Weitere Verfasser: | , , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cham, Switzerland
Springer
2020
|
| Schriftenreihe: | Communications in computer and information science
1271 |
| Schlagworte: | |
| Online Zugang: | Inhaltsverzeichnis 1850-9999 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Tag hinzufügen | Titel | Jahr | Verfasser |
|---|---|---|
| A Large-Scale Analysis of Attacker Activity in Compromised Enterprise Accounts | 2020 | Shah, Neil |
| DAPT 2020 - Constructing a Benchmark Dataset for Advanced Persistent Threats | 2020 | Myneni, Sowmya |
| FraudFox: Adaptable Fraud Detection in the Real World | 2020 | Butler, Matthew |
| Towards Practical Robustness Improvement for Object Detection in Safety-Critical Scenarios | 2020 | Hu, Zhisheng |
| Forecasting Network Intrusions from Security Logs Using LSTMs | 2020 | Mueller, W. Graham |
| Domain Generation Algorithm Detection Utilizing Model Hardening Through GAN-Generated Adversarial Examples | 2020 | Gould, Nathaniel |
| MALOnt: An Ontology for Malware Threat Intelligence | 2020 | Rastogi, Nidhi |
| Toward Explainable and Adaptable Detection and Classification of Distributed Denial-of-Service Attacks | 2020 | Feng, Yebo |