mndu / REATLinks
PyTorch code for WWW 19 paper: On Attribution of Recurrent Neural Network Predictions via Additive Decomposition
☆10Updated 4 years ago
Alternatives and similar repositories for REAT
Users that are interested in REAT are comparing it to the libraries listed below
Sorting:
- Adversarial learning by utilizing model interpretation☆10Updated 7 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆76Updated 8 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 5 years ago
- Implementation of the paper "Shapley Explanation Networks"☆89Updated 4 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆64Updated 4 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆32Updated last year
- ☆20Updated 6 years ago
- TextHide: Tackling Data Privacy in Language Understanding Tasks☆31Updated 4 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆17Updated 5 years ago
- A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models☆35Updated 4 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆154Updated 4 years ago
- [ICML 2021] Information Obfuscation of Graph Neural Networks☆37Updated 4 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆130Updated 3 years ago
- Code for SIGKDD'2021 paper: Deep Clustering based Fair Outlier Detection☆11Updated 4 years ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆60Updated 6 years ago
- Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP☆73Updated 6 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆62Updated 6 years ago
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated 2 years ago
- Code and data for the ACM CIKM 2022 paper "Rank List Sensitivity of Recommender Systems to Interaction Perturbations"☆10Updated 3 years ago
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆69Updated 5 months ago
- ☆25Updated 5 years ago
- ☆50Updated 2 years ago
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Updated 5 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 6 years ago
- This is a sample implementation of "Robust Graph Convolutional Networks Against Adversarial Attacks", KDD 2019.☆10Updated 5 years ago
- Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.☆21Updated 4 years ago
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆21Updated 5 years ago
- Towards Robust Interpretability with Self-Explaining Neural Networks, Alvarez-Melis et al. 2018☆15Updated 6 years ago
- ☆33Updated 8 years ago