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+# SCAR: Selective-distillation for Class and Architecture-agnostic unleaRning
+[Jacopo Bonato](https://scholar.google.com/citations?user=tC1GFkUAAAAJ&hl=it&authuser=1),[Marco Cotogni](https://scholar.google.com/citations?user=8PUz5lAAAAAJ&hl=it), [Luigi Sabetta](https://scholar.google.com/citations?view_op=list_works&hl=en&user=rQBQQjMAAAAJ)
+
+
+<!--The paper is available on  [![arxiv](https://img.shields.io/badge/arXiv-red)]()-->
+
+## Overview
+
+ SCAR is a novel model-agnostic unlearning algorithm named Selective-distillation for Class and Architecture-agnostic unleaRning. SCAR utilizes metric learning and knowledge distillation techniques to efficiently remove targeted information from models without relying on a retain set. By leveraging the Mahalanobis distance, SCAR shifts feature vectors of instances to forget towards distributions of samples from other classes, facilitating effective metric learning-based unlearning. Additionally, SCAR maintains model accuracy by distilling knowledge from the original model using out-of-distribution images.
+![Time](imgs/fig1.png)
+ Key contributions of this work include the development of SCAR, which achieves competitive unlearning performance without retain data, a unique self-forget mechanism in class removal scenarios, comprehensive analyses demonstrating efficacy across different datasets and architectures, and experimental evidence showcasing SCAR's comparable or superior performance to traditional unlearning methods and state-of-the-art techniques that do not use a retain set.
+
+## Getting Started
+
+
+### Installation
+
+```bash
+# Clone the repository
+git https://github.com/jbonato1/SCAR
+
+# Navigate to the project directory
+cd your-repo
+
+# Installation WITH DOCKER
+
+#Step 1:
+
+#Build the docker image from the Dockerfile : 
+docker build -f Dockerfile -t scar:1.0 . 
+
+#Step 2:
+
+#Run your image : 
+docker run -it --gpus all -v "/path_to_dataset_folder":/root/data -v "/path_to_scar_folder":/scar scar:1.0 /bin/bash
+
+# Install LOCALLY 
+pip install -r requirements.txt
+```
+
+## Code Execution
+TO DO
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