natalialmg / MMPFLinks
Implementation of Minimax Pareto Fairness framework
☆21Updated 5 years ago
Alternatives and similar repositories for MMPF
Users that are interested in MMPF are comparing it to the libraries listed below
Sorting:
- ☆22Updated 6 years ago
- ☆12Updated 4 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated last year
- Federated posterior averaging implemented in JAX☆51Updated 2 years ago
- Certified Removal from Machine Learning Models☆69Updated 4 years ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆16Updated 5 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 5 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Updated 2 years ago
- ☆22Updated 6 years ago
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆20Updated 4 years ago
- Coresets via Bilevel Optimization☆66Updated 4 years ago
- ☆50Updated 2 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 4 years ago
- ☆37Updated 2 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- Code for Auditing DPSGD☆37Updated 3 years ago
- ☆32Updated last year
- ☆15Updated last year
- Learning Adversarially Fair and Transferable Representations☆55Updated 7 years ago
- ☆27Updated 2 years ago
- ☆30Updated 3 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆98Updated 2 weeks ago
- FairBatch: Batch Selection for Model Fairness (ICLR 2021)☆20Updated 2 years ago
- ☆40Updated last year
- Papers and online resources related to machine learning fairness☆73Updated 2 years ago
- ☆17Updated 2 years ago
- ☆46Updated last year
- Learning rate adaptation for differentially private stochastic gradient descent☆17Updated 4 years ago
- Code repository is for "Federated Composite Optimization", to appear in ICML 2021☆12Updated 3 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆142Updated 5 years ago