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README.md

@@ -13,14 +13,31 @@ base_model: ehsanaghaei/SecureBERT
 
 # SecureBERT — MITRE ATT&CK Classifier
 
+[![PhD theses.fr](https://img.shields.io/badge/Project-theses.fr-orange?logo=university&logoColor=white)](https://theses.fr/s371241)
+[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+[![Zenodo Data](https://img.shields.io/badge/Zenodo-Data%20Repository-lightblue?logo=information&logoColor=white)](https://doi.org/10.5281/zenodo.16936476)
+[![Zenodo Code](https://img.shields.io/badge/Zenodo-Code%20Repository-blue?logo=information&logoColor=white)](https://zenodo.org/records/17368476)
+[![GitHub](https://img.shields.io/badge/GitHub-CVE--LMTune-black?logo=github)](https://github.com/terranovafr/CVE-LMTune)
+[![BIL INRIA](https://img.shields.io/badge/BIL%20INRIA-Software%20Protection-darkgreen)](https://bil.inria.fr/fr/software/view/5788/tablA)
+
+<div align="center">
+  <img src="https://upload.wikimedia.org/wikipedia/commons/thumb/5/5b/Logo_Universit%C3%A9_de_Lorraine.svg/1280px-Logo_Universit%C3%A9_de_Lorraine.svg.png" alt="Universite de Lorraine" height="50"/>
+  &nbsp;&nbsp;
+  <img src="https://upload.wikimedia.org/wikipedia/commons/thumb/9/95/Inr_logo_rouge.svg/1280px-Inr_logo_rouge.svg.png" alt="INRIA" height="50"/>
+  &nbsp;&nbsp;
+  <img src="https://upload.wikimedia.org/wikipedia/fr/6/6e/Logo_loria_abrege_couleur.png" alt="LORIA" height="70"/>
+  &nbsp;&nbsp;
+  <img src="https://www.pepr-cybersecurite.fr/wp-content/uploads/2023/09/pep-cybersecurite-550x250-1.png" alt="SuperViZ" height="70"/>
+</div>
+<br>
+
 Part of the **CVE-LMTune** model suite — language models fine-tuned for multi-taxonomy vulnerability classification.
 
 ## Paper
 
-> Franco Terranova, Sana Rekbi, Abdelkader Lahmadi, Isabelle Chrisment. *Multi-Taxonomy Vulnerability Classification with Hierarchically Finetuned Language Models.* DIMVA '26.
-
-[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
-[![Zenodo](https://img.shields.io/badge/Zenodo-Data%20%26%20Models-lightblue)](https://zenodo.org/records/17368476)
+> Franco Terranova, Sana Rekbi, Abdelkader Lahmadi, Isabelle Chrisment.
+> *Multi-Taxonomy Vulnerability Classification with Hierarchically Finetuned Language Models.*
+> The 23rd Conference on Detection of Intrusions and Malware & Vulnerability Assessment **(DIMVA '26)**.
 
 ## Task
 
@@ -68,5 +85,14 @@ with torch.no_grad():
 
 ## Related Resources
 
-- 🤗 [Full model suite](https://huggingface.co/Sana9)
-- 📦 [Zenodo data & logs](https://zenodo.org/records/17368476)
+- 🤗 [Full model suite on Hugging Face](https://huggingface.co/Sana9)
+- 💻 [CVE-LMTune — Training code (GitHub)](https://github.com/terranovafr/CVE-LMTune)
+- 📦 [Zenodo — Data repository](https://doi.org/10.5281/zenodo.16936476)
+- 📦 [Zenodo — Code repository](https://zenodo.org/records/17368476)
+- 🔒 [BIL INRIA — Software protection](https://bil.inria.fr/fr/software/view/5788/tablA)
+
+## Disclaimers
+
+- This product uses the NVD API but is not endorsed or certified by the NVD.
+- This project relies on data publicly available from the CWE, CAPEC, and MITRE ATT&CK projects.
+- This work has been partially supported by the French National Research Agency under the France 2030 label (Superviz ANR-22-PECY-0008). The views reflected herein do not necessarily reflect the opinion of the French government.