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SPARTA

[EACL 2026] SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent Space

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/learn @emb-ai/SPARTA
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README

SPARTA

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

arXiv Python 3.10 License: MIT

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📢 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

Related Skills

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GitHub Stars18
CategoryDevelopment
Updated20d ago
Forks0

Languages

Jupyter Notebook

Security Score

75/100

Audited on Mar 12, 2026

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