lxuechen / private-transformersView external linksLinks
A codebase that makes differentially private training of transformers easy.
☆183Dec 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
Sorting:
- Differentially-private transformers using HuggingFace and Opacus☆146Aug 28, 2024Updated last year
- ☆78May 28, 2022Updated 3 years ago
- ☆10Jun 1, 2022Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆110Dec 15, 2022Updated 3 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆76Feb 15, 2024Updated last year
- Training PyTorch models with differential privacy☆1,903Nov 12, 2025Updated 3 months ago
- ☆80May 22, 2022Updated 3 years ago
- ☆21Sep 21, 2021Updated 4 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Jun 23, 2022Updated 3 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆278Dec 5, 2023Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 3 years ago
- ☆28Nov 28, 2023Updated 2 years ago
- Repo for the paper "Bounding Training Data Reconstruction in Private (Deep) Learning".☆11Jun 16, 2023Updated 2 years ago
- ☆27Dec 15, 2022Updated 3 years ago
- ☆12Oct 2, 2023Updated 2 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆698Apr 26, 2025Updated 9 months ago
- The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word pred…☆103Aug 13, 2024Updated last year
- Training data extraction on GPT-2☆196Feb 4, 2023Updated 3 years ago
- ☆13Oct 20, 2022Updated 3 years ago
- DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting☆15Apr 27, 2023Updated 2 years ago
- [CCS 2025] DPImageBench is an open-source toolkit developed to facilitate the research and application of DP image synthesis.☆28Jan 22, 2026Updated 3 weeks ago
- Code for Auditing DPSGD☆37Feb 15, 2022Updated 3 years ago
- ☆300Jan 13, 2026Updated last month
- A library for lattice-based homomorphic encryption in Go☆14May 15, 2022Updated 3 years ago
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆46May 30, 2024Updated last year
- Measuring if attention is explanation with ROAR☆22Mar 3, 2023Updated 2 years ago
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆10Jun 18, 2019Updated 6 years ago
- Library for training machine learning models with privacy for training data☆1,998Jan 27, 2026Updated 2 weeks ago
- ☆25Apr 15, 2024Updated last year
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆24Mar 25, 2025Updated 10 months ago
- Scripts to evaluate various bias metrics for different NLG models + decoding algorithms☆16Dec 6, 2023Updated 2 years ago
- ☆12Jan 5, 2023Updated 3 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆229Nov 18, 2024Updated last year
- ☆25Aug 18, 2023Updated 2 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆45Nov 29, 2021Updated 4 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
- ☆37Mar 16, 2022Updated 3 years ago
- Differentially Private Diffusion Models☆105Dec 26, 2023Updated 2 years ago
- ☆13Jun 11, 2021Updated 4 years ago