lxuechen / private-transformersLinks
A codebase that makes differentially private training of transformers easy.
☆175Updated 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☆140Updated 11 months ago
- ☆75Updated 3 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆73Updated last year
- Code for Auditing DPSGD☆37Updated 3 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆96Updated last month
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆127Updated 2 weeks ago
- ☆80Updated 3 years ago
- Training data extraction on GPT-2☆190Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆109Updated 2 years ago
- ☆20Updated 3 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆58Updated 2 years ago
- Breaching privacy in federated learning scenarios for vision and text☆303Updated last week
- ☆193Updated last year
- autodp: A flexible and easy-to-use package for differential privacy☆274Updated last year
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆100Updated last month
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆10Updated 6 years ago
- [ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text☆42Updated 7 months ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆128Updated last year
- The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word pred…☆100Updated last year
- ☆30Updated 3 years ago
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆45Updated last year
- A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code☆67Updated last year
- ☆27Updated 2 years ago
- Certified Removal from Machine Learning Models☆68Updated 4 years ago
- ☆23Updated 2 years ago
- A library for running membership inference attacks against ML models☆149Updated 2 years ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆30Updated 2 months ago
- ☆11Updated last year
- ☆347Updated last month