dylan-slack / Fooling-LIME-SHAP
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
☆82Updated 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
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆239Updated 6 months ago
- All about explainable AI, algorithmic fairness and more☆107Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 3 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆63Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- bayesian lime☆17Updated 7 months ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 2 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆73Updated 2 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆42Updated 7 months ago
- LOcal Rule-based Exlanations☆53Updated last year
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated last year
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆103Updated 11 months ago
- 💡 Adversarial attacks on explanations and how to defend them☆312Updated 3 months ago
- Local explanations with uncertainty 💐!☆39Updated last year
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- ☆33Updated 8 months ago
- A toolbox for differentially private data generation☆130Updated last year
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Updated 2 years ago
- A collection of algorithms of counterfactual explanations.☆50Updated 3 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆286Updated last year
- Python code for training fair logistic regression classifiers.☆189Updated 3 years ago
- python tools to check recourse in linear classification☆75Updated 4 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 3 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 6 years ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆30Updated last year
- Comparing fairness-aware machine learning techniques.☆160Updated 2 years ago
- An amortized approach for calculating local Shapley value explanations☆96Updated last year
- Neural Additive Models (Google Research)☆69Updated 3 years ago