microsoft / dp-few-shot-generation
☆25Updated last year
Alternatives and similar repositories for dp-few-shot-generation:
Users that are interested in dp-few-shot-generation are comparing it to the libraries listed below
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆39Updated 10 months ago
- ☆42Updated last month
- ☆72Updated 2 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆57Updated 2 years ago
- A toolkit to assess data privacy in LLMs (under development)☆55Updated 3 months ago
- ☆21Updated last year
- ☆18Updated 3 years ago
- [ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text☆34Updated 2 months ago
- Official Repository for Dataset Inference for LLMs☆32Updated 8 months ago
- ☆20Updated 3 months ago
- ☆22Updated 2 years ago
- ☆10Updated 2 years ago
- Differentially-private transformers using HuggingFace and Opacus☆133Updated 7 months ago
- ☆21Updated 11 months ago
- A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code☆67Updated 10 months ago
- ☆42Updated last year
- The code for paper "The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)", exploring the privacy risk o…☆45Updated 2 months ago
- The collection of papers about Private Evolution☆11Updated last month
- ☆11Updated 2 years ago
- Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"☆36Updated 8 months ago
- ☆27Updated 2 years ago
- ☆53Updated 2 years ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Updated last year
- The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word pred…☆90Updated 7 months ago
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆29Updated 2 years ago
- ☆24Updated 2 years ago
- Python package for measuring memorization in LLMs.☆148Updated 4 months ago
- ☆9Updated 4 years ago
- ☆37Updated 7 months ago