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Changelog

This repo is based on Benchmark Evaluation of Counterfactual Algorithms for XAI: From a White box to a Black box. All notable changes to this project will be documented in this file.

0.2.0 - 2022-12-20

Added

  • Add a notebook for model training 1_AE_model_training.ipynb
  • Add new attack methods (DeepFool, Carlini, LowProFool, Boundary, Ho)
  • Add requirements.txt to projects
  • Add three new models (Linear SVC, Logistic Regression and Neural network 2) to utils/models.py
  • Add AE trained models to ./saved_models/
  • Add original and generated datapoints to folder ./datapoints/
  • Add information about Adversarial Robustness Toolbox in art.md
  • Add simplified model for test

Changed

  • Update README and CHANGELOG
  • Move output processing function to save.py

Deprecated

  • Remove irrelevant materials from CF

0.1.0 - 2022-11-30

Added

  • Fork Counterfactual Benchmark as the basis for further development
  • Add CHANGELOG.md to record evolving changes in the development

Changed

  • Add more patterns in .gitignore

Deprecated

  • Remove cache folders (.vscode/, .ipynb_checkpoints/, __pycache__/) out of git track lists