TextAttack VS alpha-beta-CROWN

Compare TextAttack vs alpha-beta-CROWN and see what are their differences.

TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/ (by QData)

alpha-beta-CROWN

alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023) (by Verified-Intelligence)
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TextAttack alpha-beta-CROWN
3 1
2,761 206
1.3% 3.4%
8.3 4.7
about 1 month ago 19 days ago
Python Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

TextAttack

Posts with mentions or reviews of TextAttack. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-06.

alpha-beta-CROWN

Posts with mentions or reviews of alpha-beta-CROWN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-21.

What are some alternatives?

When comparing TextAttack and alpha-beta-CROWN you can also consider the following projects:

TextFooler - A Model for Natural Language Attack on Text Classification and Inference

mn-bab - [ICLR 2022] Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound

adversarial-robustness-toolbox - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

auto-attack - Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

OpenAttack - An Open-Source Package for Textual Adversarial Attack.

auto_LiRPA - auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

KitanaQA - KitanaQA: Adversarial training and data augmentation for neural question-answering models

advertorch - A Toolbox for Adversarial Robustness Research