lxuechen / private-transformersLinks
A codebase that makes differentially private training of transformers easy.
☆176Updated 2 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☆143Updated last year
- ☆75Updated 3 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆74Updated last year
- Algorithms for Privacy-Preserving Machine Learning in JAX☆106Updated this week
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆132Updated 2 months ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- ☆80Updated 3 years ago
- Training data extraction on GPT-2☆193Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- ☆21Updated 4 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆61Updated 2 years ago
- [ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text☆46Updated 9 months ago
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆103Updated last month
- This repo implements several algorithms for learning with differential privacy.☆109Updated 2 years ago
- ☆293Updated 2 months ago
- ☆194Updated 2 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆275Updated last year
- ☆30Updated 4 years ago
- A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code☆68Updated last year
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆10Updated 6 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆127Updated last year
- A library for running membership inference attacks against ML models☆150Updated 2 years ago
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆46Updated last year
- Python package for measuring memorization in LLMs.☆170Updated 3 months ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆31Updated 4 months ago
- The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word pred…☆101Updated last year
- ☆28Updated last year
- ☆23Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 years ago
- Certified Removal from Machine Learning Models☆69Updated 4 years ago