yet another escape

_publications/2024-01-12-SAM.md

@@ -2,7 +2,7 @@
 title: "Validation report 003: YOLOv5-license-plate exploration with SHAP"
 collection: publications
 permalink: /publication/2024-01-12-SAM
-excerpt: 'This project investigates the robustness of a fine-tuned YOLOv5 model for license plate detection against DPatch adversarial attacks and explores the interpretability of its predictions through SHAP analysis. The study found that DPatch adversarial attacks reduce the model\'s detection rates, with discrepancies from previous findings attributed to specific fine-tuning and model advancements. SHAP analysis highlighted the model\'s focus on specific regions, such as the license plate, providing insights into its decision-making process.'
+excerpt: "This project investigates the robustness of a fine-tuned YOLOv5 model for license plate detection against DPatch adversarial attacks and explores the interpretability of its predictions through SHAP analysis. The study found that DPatch adversarial attacks reduce the model's detection rates, with discrepancies from previous findings attributed to specific fine-tuning and model advancements. SHAP analysis highlighted the model's focus on specific regions, such as the license plate, providing insights into its decision-making process."
 date: 2024-01-12
 venue: 'Explainable Machine Learning 2023/2024 course'
 paperurl: 'https://modeloriented.github.io/CVE-AI/files/2023_SAM.pdf'