dylan-slack / Fooling-LIME-SHAPLinks
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
☆84Updated 2 years ago
Alternatives and similar repositories for Fooling-LIME-SHAP
Users that are interested in Fooling-LIME-SHAP are comparing it to the libraries listed below
Sorting:
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆248Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆294Updated 2 years ago
- This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data☆30Updated 4 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆119Updated 4 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆75Updated 3 years ago
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- LOcal Rule-based Exlanations☆53Updated last year
- Python code for training fair logistic regression classifiers.☆191Updated 3 years ago
- A toolbox for differentially private data generation☆131Updated 2 years ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆220Updated 2 years ago
- 💡 Adversarial attacks on explanations and how to defend them☆328Updated 10 months ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 7 years ago
- Datasets derived from US census data☆272Updated last year
- An amortized approach for calculating local Shapley value explanations☆102Updated last year
- Comparing fairness-aware machine learning techniques.☆159Updated 2 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆45Updated 4 months ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago
- Data Shapley: Equitable Valuation of Data for Machine Learning☆280Updated last year
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- bayesian lime☆18Updated last year
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆74Updated 3 years ago
- Neural Additive Models (Google Research)☆73Updated 4 years ago
- For calculating global feature importance using Shapley values.☆278Updated last week