Karim-53 / Compare-xAILinks
A Unified Approach to Evaluate and Compare Explainable AI methods
☆14Updated last year
Alternatives and similar repositories for Compare-xAI
Users that are interested in Compare-xAI are comparing it to the libraries listed below
Sorting:
- A framework for assessing and improving classification fairness.☆33Updated 2 years ago
- Code for paper: Are Large Language Models Post Hoc Explainers?☆34Updated last year
- The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)☆24Updated 3 years ago
- VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning☆40Updated 2 years ago
- A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)☆26Updated 4 years ago
- ☆156Updated 2 years ago
- Official implementation of the EMNLP 2021 paper "ONION: A Simple and Effective Defense Against Textual Backdoor Attacks"☆35Updated 4 years ago
- Source Code Data Augmentation for Deep Learning: A Survey.☆66Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- Conformal Language Modeling☆32Updated last year
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆31Updated 3 years ago
- Replication package for evaluation of code generation metrics☆16Updated 2 years ago
- [NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark☆226Updated last year
- Adversarial Robustness for Code☆16Updated 4 years ago
- A framework for adversarial attacks against token classification models☆33Updated 4 years ago
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆89Updated 2 years ago
- Releasing code for "ReCode: Robustness Evaluation of Code Generation Models"☆54Updated last year
- ☆56Updated last year
- A Diagnostic Study of Explainability Techniques for Text Classification☆68Updated 5 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆251Updated last year
- Fairness toolkit for pytorch, scikit learn and autogluon☆33Updated 2 weeks ago
- Official Code Repo for the Paper: "How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions", In NeurIPS 2…☆40Updated 3 years ago
- Explaining neural decisions contrastively to alternative decisions.☆25Updated 4 years ago
- Uncertainty Quantification with Pre-trained Language Models: An Empirical Analysis☆15Updated 3 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆75Updated 3 years ago
- Generating Adversarial Examples for Holding Robustness of Source Code Processing Models☆14Updated 3 years ago
- A collection of publications that works on code models but beyond focusing on the accuracies.☆13Updated 2 years ago
- On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification☆29Updated 3 years ago
- Training data extraction on GPT-2☆193Updated 2 years ago
- This repository contains the replication package of our paper "Assessing the Security of GitHub Copilot’s Generated Code - A Targeted Rep…☆10Updated 2 years ago