lxuechen / private-transformersLinks
A codebase that makes differentially private training of transformers easy.
☆183Updated 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☆146Updated last year
- ☆78Updated 3 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆76Updated last year
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆139Updated 3 weeks ago
- Training data extraction on GPT-2☆196Updated 3 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- ☆80Updated 3 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- ☆21Updated 4 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆151Updated this week
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆61Updated 2 years ago
- This repo implements several algorithms for learning with differential privacy.☆110Updated 3 years ago
- A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code☆69Updated last year
- ☆198Updated 2 years ago
- ☆31Updated 4 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆278Updated 2 years ago
- ☆299Updated 3 weeks ago
- 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☆133Updated last year
- ☆370Updated last month
- Breaching privacy in federated learning scenarios for vision and text☆312Updated 2 weeks ago
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆111Updated 3 months ago
- The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word pred…☆103Updated last year
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆35Updated 8 months ago
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆46Updated last year
- A library for running membership inference attacks against ML models☆152Updated 3 years ago
- Certified Removal from Machine Learning Models☆69Updated 4 years ago
- Python package for measuring memorization in LLMs.☆184Updated 6 months ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 years ago
- LAMP: Extracting Text from Gradients with Language Model Priors (NeurIPS '22)☆29Updated 8 months ago