cabreraalex / private-fair-GANLinks
ICLR Reproducibility Challenge: Generative Adversarial Models For Learning Private And Fair Representations
☆12Updated 6 years ago
Alternatives and similar repositories for private-fair-GAN
Users that are interested in private-fair-GAN are comparing it to the libraries listed below
Sorting:
- ☆50Updated 2 years ago
- Self-Explaining Neural Networks☆43Updated 5 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated last year
- ☆22Updated 6 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆45Updated 5 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Self-Explaining Neural Networks☆13Updated 2 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated 2 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Updated 4 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆115Updated 3 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆64Updated 4 years ago
- [ICML 2021] Information Obfuscation of Graph Neural Networks☆36Updated 4 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- ☆12Updated 3 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 4 years ago
- ☆37Updated 2 years ago
- ☆38Updated 4 years ago
- PyTorch code for the Neurips 2021 paper: Fairness via Representation Neutralization☆10Updated 4 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆39Updated last year
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆57Updated 4 years ago
- code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"☆46Updated 6 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆62Updated 6 years ago
- Learning perturbation sets for robust machine learning☆65Updated 4 years ago
- Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)☆123Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 years ago