Picture for John Holodnak

John Holodnak

MIT Lincoln Laboratory

Model-agnostic clean-label backdoor mitigation in cybersecurity environments

Add code
Jul 11, 2024
Viaarxiv icon

ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems

Add code
Aug 08, 2023
Viaarxiv icon

Poisoning Network Flow Classifiers

Add code
Jun 02, 2023
Viaarxiv icon

Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification

Add code
May 11, 2022
Figure 1 for Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification
Figure 2 for Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification
Figure 3 for Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification
Figure 4 for Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification
Viaarxiv icon