Alternatives and similar repositories for REAT

Users that are interested in REAT are comparing it to the libraries listed below

• Jianbo-Lab / LCShapley
  ☆17Updated 6 years ago
• RyanWangZf / Influence_Subsampling
  Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
  ☆64Updated 4 years ago
• yuan-li / truth-inference-at-scale
  ☆20Updated 6 years ago
• vasishtduddu / GraphLeaks
  Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020
  ☆17Updated 4 years ago
• ninghaohello / Interpretation2Adversary
  Adversarial learning by utilizing model interpretation
  ☆10Updated 7 years ago
• liaopeiyuan / GAL
  [ICML 2021] Information Obfuscation of Graph Neural Networks
  ☆37Updated 4 years ago
• csong27 / collision-bert
  ☆25Updated 5 years ago
• icml2019paper2428 / Towards-A-Deep-and-Unified-Understanding-of-Deep-Neural-Models-in-NLP
  Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP
  ☆73Updated 6 years ago
• OscarcarLi / PrototypeDL
  Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…
  ☆77Updated 8 years ago
• code-terminator / invariant_rationalization
  Tensorflow implementation of Invariant Rationalization
  ☆50Updated 2 years ago
• SwiftieH / GFAttack
  A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
  ☆35Updated 4 years ago
• yanaiela / demog-text-removal
  ☆51Updated 7 years ago
• cuilimeng / DETERRENT
  ☆30Updated 5 years ago
• IBM / sensitive-subspace-robustness
  ☆12Updated 4 years ago
• cyber-meow / PUbiasedN
  PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
  ☆19Updated 2 years ago
• lushleaf / Structure-free-certified-NLP
  SAFER: A Structure-free Approach For cErtified Robustness to Adversarial Word Substitutions (ACL 2020)
  ☆31Updated 5 years ago
• ryokamoi / pytorch_influence_functions
  This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…
  ☆17Updated 5 years ago
• fmpr / CrowdLayer
  A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk)…
  ☆69Updated 4 years ago
• danielzuegner / robust-gcn
  Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
  ☆43Updated 5 years ago
• Hazelsuko07 / TextHide
  TextHide: Tackling Data Privacy in Language Understanding Tasks
  ☆31Updated 4 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆51Updated 4 years ago
• lethaiq / GRACE_KDD20
  GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …
  ☆21Updated 5 years ago
• JunwenBai / MPVAE
  MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification
  ☆32Updated last year
• ujeong1 / IEEEBigdata22_HGFND
  ☆37Updated 2 years ago
• brandeis-machine-learning / awesome-ml-fairness
  Papers and online resources related to machine learning fairness
  ☆75Updated 2 years ago
• abojchevski / node_embedding_attack
  Adversarial Attacks on Node Embeddings via Graph Poisoning
  ☆60Updated 6 years ago
• JHL-HUST / FGPM
  Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks
  ☆24Updated 5 years ago
• epfl-lts2 / GraphMining-TheWebConf2021
  ☆14Updated 4 years ago
• ChandlerBang / pytorch-gnn-meta-attack
  Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.
  ☆21Updated 4 years ago
• alvinchangw / CARA_EMNLP2020
  Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)
  ☆15Updated 5 years ago