hbaniecki / adversarial-explainable-aiLinks
💡 Adversarial attacks on explanations and how to defend them
☆330Updated last year
Alternatives and similar repositories for adversarial-explainable-ai
Users that are interested in adversarial-explainable-ai are comparing it to the libraries listed below
Sorting:
- A curated list of awesome Fairness in AI resources☆329Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆251Updated last year
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆85Updated 2 years ago
- ☆129Updated 3 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆212Updated 3 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆946Updated last year
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆754Updated 8 months ago
- A Python library for Secure and Explainable Machine Learning☆190Updated 5 months ago
- Datasets derived from US census data☆273Updated last year
- Related papers for robust machine learning☆567Updated 2 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆37Updated 3 years ago
- Repository of the paper "Imperceptible Adversarial Attacks on Tabular Data" presented at NeurIPS 2019 Workshop on Robust AI in Financial …☆16Updated 4 years ago
- A toolbox for differentially private data generation☆130Updated 2 years ago
- ☆149Updated last year
- [NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contrib…☆27Updated 6 years ago
- Creating and defending against adversarial examples☆41Updated 6 years ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆74Updated 3 years ago
- A curated list of trustworthy deep learning papers. Daily updating...☆378Updated last month
- ☆196Updated 2 years ago
- A unified benchmark problem for data poisoning attacks☆161Updated 2 years ago
- A repository to quickly generate synthetic data and associated trojaned deep learning models☆83Updated 2 years ago
- Provable adversarial robustness at ImageNet scale☆402Updated 6 years ago
- Library containing PyTorch implementations of various adversarial attacks and resources☆166Updated 2 weeks ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆140Updated 2 months ago
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- This is a collection of papers and other resources related to fairness.☆94Updated 3 weeks ago
- An awesome list of papers on privacy attacks against machine learning☆627Updated last year
- A library for running membership inference attacks against ML models☆152Updated 2 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆75Updated 3 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago