microsoft / dp-few-shot-generation
☆23Updated 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☆36Updated 8 months ago
- ☆70Updated 2 years ago
- ☆22Updated 2 years ago
- ☆40Updated last year
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆57Updated last year
- ☆18Updated 3 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- [ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text☆32Updated 2 weeks ago
- The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word pred…☆88Updated 5 months ago
- ☆10Updated 2 years ago
- ☆15Updated last month
- A toolkit to assess data privacy in LLMs (under development)☆49Updated 3 weeks ago
- A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code☆65Updated 8 months ago
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆29Updated 2 years ago
- Differentially-private transformers using HuggingFace and Opacus☆132Updated 5 months ago
- Code for our paper "Defending ChatGPT against Jailbreak Attack via Self-Reminder" in NMI.☆44Updated last year
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024]☆85Updated this week
- ☆21Updated last year
- Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"☆36Updated 6 months ago
- Official Repository for Dataset Inference for LLMs☆28Updated 6 months ago
- ☆30Updated last month
- Python package for measuring memorization in LLMs.☆137Updated 2 months ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆73Updated 11 months ago
- A curated list of trustworthy Generative AI papers. Daily updating...☆68Updated 4 months ago
- ☆52Updated last year
- Code&Data for the paper "Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents" [NeurIPS 2024]☆60Updated 4 months ago
- 🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…☆36Updated last year
- ☆27Updated 2 years ago
- ☆11Updated 2 years ago
- ☆30Updated 5 months ago