A codebase that makes differentially private training of transformers easy.
☆190Dec 9, 2022Updated 3 years ago
Alternatives and similar repositories for private-transformers
Users that are interested in private-transformers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Differentially-private transformers using HuggingFace and Opacus☆149Aug 28, 2024Updated last year
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆146Jan 22, 2026Updated 5 months ago
- ☆79May 28, 2022Updated 4 years ago
- ☆10Jun 1, 2022Updated 4 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆78Feb 15, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Computationally friendly hyper-parameter search with DP-SGD☆27Jan 7, 2025Updated last year
- Training PyTorch models with differential privacy☆1,936Jun 14, 2026Updated 3 weeks ago
- ☆21Sep 21, 2021Updated 4 years ago
- ☆24Apr 29, 2022Updated 4 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆179Jun 29, 2026Updated last week
- ☆80May 22, 2022Updated 4 years ago
- ☆15Jun 5, 2023Updated 3 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Jun 23, 2022Updated 4 years ago
- Repo for the paper "Bounding Training Data Reconstruction in Private (Deep) Learning".☆12Jun 16, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- autodp: A flexible and easy-to-use package for differential privacy☆279Dec 5, 2023Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 4 years ago
- The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word pred…☆104Aug 13, 2024Updated last year
- DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting☆15Apr 27, 2023Updated 3 years ago
- ☆28Nov 28, 2023Updated 2 years ago
- ☆13Oct 20, 2022Updated 3 years ago
- ☆27Dec 15, 2022Updated 3 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆719Apr 26, 2025Updated last year
- Training data extraction on GPT-2☆196Feb 4, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for Auditing DPSGD☆39Feb 15, 2022Updated 4 years ago
- [ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text☆61Jan 11, 2025Updated last year
- Library for training machine learning models with privacy for training data☆2,015Updated this week
- ☆37Mar 16, 2022Updated 4 years ago
- Differentially private federated learning: A systematic review (ACM Survey); Adap dp-fl: Differentially private federated learning with a…☆388Sep 2, 2025Updated 10 months ago
- Private Evolution: Generating DP Synthetic Data without Model Training [ICML 2026, ICLR 2024, ICML 2024 Spotlight]☆113Updated this week
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆10Jun 18, 2019Updated 7 years ago
- A library for lattice-based homomorphic encryption in Go☆14May 15, 2022Updated 4 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆46Nov 29, 2021Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆24Jul 25, 2024Updated last year
- ☆27Aug 18, 2023Updated 2 years ago
- DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release (VLDB' 2024)☆27Jan 25, 2025Updated last year
- ☆307Jun 10, 2026Updated 3 weeks ago
- An awesome list of papers on privacy attacks against machine learning☆641Mar 18, 2024Updated 2 years ago
- Scripts to evaluate various bias metrics for different NLG models + decoding algorithms☆16Dec 6, 2023Updated 2 years ago
- [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