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The official implementation of "SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent Space"

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SPARTA

Official Implementation of "SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent Space"

arXiv Python 3.10 License: MIT


📢 News

🚧 More updates coming soon! Stay tuned for additional features, documentation, and improvements.


📋 Overview

This repository contains the official implementation of the paper SPARTA (arXiv:2510.24446).

🚀 Getting Started

Installation

# create conda env
conda create -n rtext python==3.10.16
conda activate rtext
#  install python packages
pip install -r requirements-attack.txt
pip install -e fairseq2
pip install -e SONAR
pip install -e LISA
pip install -e LISA_v0
pip install -e GSVA
pip install -e rtext

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The official implementation of "SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent Space"

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