Alternatives and similar repositories for lm-extraction-benchmark

Users that are interested in lm-extraction-benchmark are comparing it to the libraries listed below

• ftramer / LM_Memorization
  Training data extraction on GPT-2
  ☆186Updated 2 years ago
• iamgroot42 / mimir
  Python package for measuring memorization in LLMs.
  ☆152Updated 5 months ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆171Updated 2 years ago
• facebookresearch / ResponsibleNLP
  Repository for research in the field of Responsible NLP at Meta.
  ☆199Updated 5 months ago
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆138Updated 8 months ago
• centerforaisafety / tdc2023-starter-kit
  This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.
  ☆86Updated 11 months ago
• safr-ai-lab / survey-llm
  A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code
  ☆67Updated 11 months ago
• i-gallegos / Fair-LLM-Benchmark
  ☆132Updated last year
• locuslab / open-unlearning
  The one-stop repository for large language model (LLM) unlearning. Supports TOFU, MUSE, WMDP and is an easily extensible framework for ne…
  ☆254Updated this week
• microsoft / TOXIGEN
  This repo contains the code for generating the ToxiGen dataset, published at ACL 2022.
  ☆317Updated 11 months ago
• facebookresearch / text-adversarial-attack
  Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"
  ☆107Updated 2 years ago
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆97Updated 2 months ago
• microsoft / analysing_pii_leakage
  The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word pred…
  ☆93Updated 9 months ago
• joeljang / knowledge-unlearning
  [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
  ☆81Updated 8 months ago
• eth-sri / SynthPAI
  A Synthetic Dataset for Personal Attribute Inference (NeurIPS'24 D&B)
  ☆40Updated 5 months ago
• McGill-NLP / bias-bench
  ACL 2022: An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.
  ☆136Updated 5 months ago
• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆73Updated 2 years ago
• swj0419 / detect-pretrain-code
  This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Aji…
  ☆222Updated last year
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆33Updated 9 months ago
• jthickstun / watermark
  Code for watermarking language models
  ☆79Updated 8 months ago
• shreyansh26 / Extracting-Training-Data-from-Large-Langauge-Models
  A re-implementation of the "Extracting Training Data from Large Language Models" paper by Carlini et al., 2020
  ☆35Updated 2 years ago
• AI-secure / DecodingTrust
  A Comprehensive Assessment of Trustworthiness in GPT Models
  ☆290Updated 8 months ago
• hendrycks / ethics
  Aligning AI With Shared Human Values (ICLR 2021)
  ☆286Updated 2 years ago
• kevinyaobytedance / llm_unlearn
  LLM Unlearning
  ☆157Updated last year
• facebookresearch / advprompter
  Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873
  ☆154Updated last year
• amazon-science / controlling-llm-memorization
  ☆35Updated last year
• mlcommons / modelbench
  Run safety benchmarks against AI models and view detailed reports showing how well they performed.
  ☆91Updated this week
• eric-mitchell / mend
  MEND: Fast Model Editing at Scale
  ☆245Updated last year
• eth-sri / llmprivacy
  ☆55Updated 3 months ago
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆209Updated 5 months ago