jeffhj / LM_PersonalInfoLeakLinks
The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)
☆24Updated 2 years ago
Alternatives and similar repositories for LM_PersonalInfoLeak
Users that are interested in LM_PersonalInfoLeak are comparing it to the libraries listed below
Sorting:
- Training data extraction on GPT-2☆188Updated 2 years ago
- Official Repository for Dataset Inference for LLMs☆35Updated 11 months ago
- ☆13Updated 2 years ago
- Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"☆12Updated 2 years ago
- ☆9Updated 4 years ago
- ☆18Updated 3 years ago
- ☆36Updated 2 years ago
- A re-implementation of the "Extracting Training Data from Large Language Models" paper by Carlini et al., 2020☆36Updated 3 years ago
- ☆6Updated 2 years ago
- ☆44Updated 2 years ago
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆29Updated 3 years ago
- ☆44Updated 5 months ago
- ☆57Updated last year
- ☆55Updated 2 years ago
- Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"☆107Updated 2 years ago
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆44Updated last year
- ☆74Updated 3 years ago
- In-context Example Selection with Influences☆15Updated 2 years ago
- [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models☆82Updated 10 months ago
- A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)☆26Updated 3 years ago
- 🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…☆42Updated last year
- ☆27Updated last year
- ☆21Updated last year
- ☆294Updated last week
- The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word pred…☆97Updated 11 months ago
- ☆137Updated last year
- Python package for measuring memorization in LLMs.☆160Updated this week
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆101Updated 4 months ago
- ☆26Updated 4 years ago
- ☆89Updated 2 months ago