liaopeiyuan / GAL
[ICML 2021] Information Obfuscation of Graph Neural Networks
☆36Updated 3 years ago
Alternatives and similar repositories for GAL
Users that are interested in GAL are comparing it to the libraries listed below
Sorting:
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 4 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆59Updated 5 years ago
- ICLR Reproducibility Challenge: Generative Adversarial Models For Learning Private And Fair Representations☆11Updated 6 years ago
- ☆12Updated 5 years ago
- Research prototype of deletion efficient k-means algorithms☆23Updated 5 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 5 years ago
- Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020☆15Updated 3 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆15Updated 4 years ago
- ☆19Updated 3 years ago
- Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)☆16Updated 2 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Updated last year
- Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)☆15Updated 4 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Updated 4 years ago
- Adversarial learning by utilizing model interpretation☆10Updated 6 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 5 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 5 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆45Updated 5 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆19Updated 6 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- ☆16Updated 5 years ago
- The code of paper "Adversarial Label-Flipping Attack and Defense for Graph Neural Networks" (ICDM 2020)☆18Updated 4 years ago
- ☆18Updated 3 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models …☆20Updated 3 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- TextHide: Tackling Data Privacy in Language Understanding Tasks☆31Updated 4 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Few Shot Learning on Graphs☆33Updated 2 years ago
- ☆22Updated 6 years ago