facebookresearch / tanLinks
Computationally friendly hyper-parameter search with DP-SGD
☆26Updated 7 months ago
Alternatives and similar repositories for tan
Users that are interested in tan are comparing it to the libraries listed below
Sorting:
- ☆38Updated 4 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆95Updated last month
- Learning perturbation sets for robust machine learning☆65Updated 3 years ago
- ☆23Updated 2 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Updated 2 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆59Updated last year
- ☆18Updated 3 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- Certified Removal from Machine Learning Models☆67Updated 3 years ago
- ☆62Updated 4 years ago
- ☆27Updated 2 years ago
- ☆15Updated 2 years ago
- ☆50Updated 2 years ago
- A simple PyTorch implementation of influence functions.☆89Updated last year
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 5 years ago
- ☆46Updated 2 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated last year
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 6 months ago
- Official Repository for ICML 2023 paper "Can Neural Network Memorization Be Localized?"☆19Updated last year
- ☆55Updated 4 years ago
- ☆16Updated 2 years ago
- ☆10Updated 3 years ago
- Differentially Private Diffusion Models☆101Updated last year
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 6 years ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆48Updated last year
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆38Updated 6 years ago
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- [CVPR 2021] Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?☆33Updated 4 years ago