facebookresearch / tanLinks
Computationally friendly hyper-parameter search with DP-SGD
☆25Updated 5 months ago
Alternatives and similar repositories for tan
Users that are interested in tan are comparing it to the libraries listed below
Sorting:
- ☆18Updated 3 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Updated 2 years ago
- ☆16Updated last year
- Learning perturbation sets for robust machine learning☆65Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- ☆22Updated 2 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 4 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆20Updated last year
- ☆38Updated 3 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Certified Removal from Machine Learning Models☆65Updated 3 years ago
- ☆14Updated 5 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆94Updated last month
- ☆37Updated 3 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 3 years ago
- [CVPR 2021] Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?☆33Updated 4 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- [NeurIPS 2020] Simple and practical private mean and covariance estimation.☆35Updated 4 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago
- ☆15Updated 2 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Updated 2 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆26Updated 10 months ago
- ☆27Updated 2 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Updated 4 years ago
- ☆10Updated 3 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago