parameterlab / mia-scalingLinks
Source code of NAACL 2025 Findings "Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models"
☆15Updated 9 months ago
Alternatives and similar repositories for mia-scaling
Users that are interested in mia-scaling are comparing it to the libraries listed below
Sorting:
- Official Repository for Dataset Inference for LLMs☆43Updated last year
- ☆13Updated 3 years ago
- ☆76Updated 3 years ago
- Training data extraction on GPT-2☆193Updated 2 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆61Updated 2 years ago
- Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"☆12Updated 2 years ago
- Benchmarking MIAs against LLMs.☆24Updated last year
- Python package for measuring memorization in LLMs.☆173Updated 4 months ago
- ☆21Updated 4 years ago
- ☆23Updated 2 years ago
- This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.☆89Updated last year
- Differentially-private transformers using HuggingFace and Opacus☆143Updated last year
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆46Updated last year
- ☆43Updated 2 years ago
- ☆46Updated last year
- A codebase that makes differentially private training of transformers easy.☆178Updated 2 years ago
- Code for watermarking language models☆83Updated last year
- ☆59Updated 2 years ago
- Code for the paper "RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models" (EMNLP 2021)☆26Updated 4 years ago
- Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"☆109Updated 2 years ago
- The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)☆24Updated 3 years ago
- Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"☆62Updated last year
- ☆47Updated 9 months ago
- 🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…☆48Updated last year
- The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word pred…☆101Updated last year
- Fingerprint large language models☆43Updated last year
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆31Updated 3 years ago
- ☆32Updated last year
- A Synthetic Dataset for Personal Attribute Inference (NeurIPS'24 D&B)☆45Updated 3 months ago
- 🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"☆35Updated 3 years ago