google-research / dp-imagenetView external linksLinks
☆37Mar 16, 2022Updated 3 years ago
Alternatives and similar repositories for dp-imagenet
Users that are interested in dp-imagenet are comparing it to the libraries listed below
Sorting:
- ☆10Jun 1, 2022Updated 3 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆151Updated this week
- ☆15Jun 5, 2023Updated 2 years ago
- ☆23Dec 15, 2022Updated 3 years ago
- Lint for privacy☆28Sep 5, 2022Updated 3 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Feb 14, 2024Updated 2 years ago
- ☆12Dec 7, 2017Updated 8 years ago
- ☆12Oct 2, 2023Updated 2 years ago
- ☆14Apr 8, 2021Updated 4 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Mar 15, 2025Updated 11 months ago
- ☆30Feb 11, 2021Updated 5 years ago
- This repository is part of an NLP course for humanities and cultural studies. This course uses historical newspapers as a source and appl…☆19Jun 5, 2025Updated 8 months ago
- [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…☆13Feb 13, 2022Updated 4 years ago
- Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".☆19May 31, 2023Updated 2 years ago
- ☆15Nov 12, 2021Updated 4 years ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆18Mar 3, 2024Updated last year
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆36Dec 28, 2021Updated 4 years ago
- ☆17Jul 26, 2022Updated 3 years ago
- Noise-robust de-duplication at scale☆19Apr 9, 2023Updated 2 years ago
- DAMON-based Optimal Operation Schemes☆17Sep 5, 2024Updated last year
- Learning rate adaptation for differentially private stochastic gradient descent☆17Apr 23, 2021Updated 4 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Dec 16, 2016Updated 9 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆19May 19, 2019Updated 6 years ago
- Suite of 500 procedurally-generated NLP tasks to study language model adaptability☆21Jul 16, 2022Updated 3 years ago
- Actor Critic using Kronecker-Factored Trust Region☆19Jul 3, 2018Updated 7 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆278Dec 5, 2023Updated 2 years ago
- Multi-omics data normalisation, model fitting and visualisation.☆27Apr 6, 2023Updated 2 years ago
- ☆15Jan 12, 2026Updated last month
- Repository of the HBCP project.☆22Jul 25, 2024Updated last year
- An ML research codebase built with friends :)☆26Aug 25, 2024Updated last year
- Implementation of the paper "Fine-Tuning Transformers: Vocabulary Transfer" https://arxiv.org/pdf/2112.14569.pdf☆20Dec 28, 2021Updated 4 years ago
- ☆20Apr 10, 2019Updated 6 years ago
- DEMix Layers for Modular Language Modeling☆54Aug 23, 2021Updated 4 years ago
- ☆27Dec 15, 2022Updated 3 years ago
- ☆24Apr 29, 2022Updated 3 years ago
- Training PyTorch models with differential privacy☆1,903Nov 12, 2025Updated 3 months ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Jan 10, 2021Updated 5 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 3 years ago
- ☆11Sep 16, 2024Updated last year