☆307Jun 10, 2026Updated 2 months ago
Alternatives and similar repositories for lm-extraction-benchmark
Users that are interested in lm-extraction-benchmark are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Training data extraction on GPT-2☆197Feb 4, 2023Updated 3 years ago
- ☆44May 23, 2023Updated 3 years ago
- Official Code for ACL 2023 paper: "Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confid…☆24May 8, 2023Updated 3 years ago
- ☆39May 19, 2023Updated 3 years ago
- The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)☆30Oct 31, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Python package for measuring memorization in LLMs.☆195Jul 16, 2025Updated last year
- An awesome list of papers on privacy attacks against machine learning☆642Mar 18, 2024Updated 2 years ago
- Certified Removal from Machine Learning Models☆70Aug 23, 2021Updated 5 years ago
- ☆34Mar 13, 2025Updated last year
- ☆13Oct 20, 2022Updated 3 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆133Apr 9, 2024Updated 2 years ago
- ☆29Aug 31, 2025Updated last year
- ☆373Apr 8, 2026Updated 4 months ago
- ☆49Feb 8, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆79May 28, 2022Updated 4 years ago
- This is the official implementation of our paper 'Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protecti…☆59May 1, 2026Updated 4 months ago
- A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code☆69May 30, 2024Updated 2 years ago
- ☆44Nov 17, 2024Updated last year
- ☆13Aug 6, 2026Updated 3 weeks ago
- The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word pred…☆107Updated this week
- interesting & promising & widely adopted tricks for SOTA performance in machine learning community.☆15Apr 13, 2021Updated 5 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆59Mar 13, 2023Updated 3 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97May 25, 2023Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆28Mar 15, 2022Updated 4 years ago
- ☆15Feb 21, 2024Updated 2 years ago
- ☆1,270Jul 30, 2024Updated 2 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Mar 24, 2023Updated 3 years ago
- A codebase that makes differentially private training of transformers easy.☆190Dec 9, 2022Updated 3 years ago
- An Empirical Study of Memorization in NLP (ACL 2022)☆13Jun 22, 2022Updated 4 years ago
- [ICLR 2025] On Evluating the Durability of Safegurads for Open-Weight LLMs☆13Jun 20, 2025Updated last year
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆10Jun 18, 2019Updated 7 years ago
- Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)☆21Sep 16, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"☆41Jul 8, 2024Updated 2 years ago
- Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang☆18Feb 23, 2021Updated 5 years ago
- ☆62Mar 9, 2023Updated 3 years ago
- [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping☆10Feb 27, 2020Updated 6 years ago
- [ArXiv 2025] Denial-of-Service Poisoning Attacks on Large Language Models☆23Oct 22, 2024Updated last year
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆40Dec 27, 2022Updated 3 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆724Apr 26, 2025Updated last year