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
  ☆193Updated 2 years ago
• iamgroot42 / mimir
  Python package for measuring memorization in LLMs.
  ☆172Updated 3 months ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆176Updated 2 years ago
• facebookresearch / ResponsibleNLP
  Repository for research in the field of Responsible NLP at Meta.
  ☆202Updated 5 months ago
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆143Updated last year
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆41Updated last year
• facebookresearch / text-adversarial-attack
  Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"
  ☆109Updated 2 years ago
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆220Updated 11 months ago
• hendrycks / ethics
  Aligning AI With Shared Human Values (ICLR 2021)
  ☆302Updated 2 years ago
• jeffhj / LM_PersonalInfoLeak
  The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)
  ☆24Updated 3 years ago
• mireshghallah / ft-memorization
  ☆13Updated 3 years ago
• microsoft / TOXIGEN
  This repo contains the code for generating the ToxiGen dataset, published at ACL 2022.
  ☆335Updated last year
• centerforaisafety / tdc2023-starter-kit
  This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.
  ☆89Updated last year
• AlexWan0 / Poisoning-Instruction-Tuned-Models
  ☆56Updated last year
• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆75Updated 3 years 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…
  ☆101Updated last year
• 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
  ☆36Updated 3 years ago
• AI-secure / DecodingTrust
  A Comprehensive Assessment of Trustworthiness in GPT Models
  ☆306Updated last year
• amazon-science / controlling-llm-memorization
  ☆38Updated 2 years ago
• princeton-nlp / corpus-poisoning
  [EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156
  ☆40Updated last year
• martiansideofthemoon / ai-detection-paraphrases
  Official repository for our NeurIPS 2023 paper "Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense…
  ☆176Updated last year
• joeljang / knowledge-unlearning
  [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
  ☆83Updated last year
• 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
  ☆68Updated last year
• jthickstun / watermark
  Code for watermarking language models
  ☆82Updated last year
• ejones313 / auditing-llms
  ☆58Updated 2 years ago
• parameterlab / mia-scaling
  Source code of NAACL 2025 Findings "Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models"
  ☆15Updated 8 months ago
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆116Updated 8 months ago
• facebookresearch / advprompter
  Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873
  ☆169Updated last year
• wyshi / lm_privacy
  ☆21Updated 4 years ago
• moinnadeem / StereoSet
  StereoSet: Measuring stereotypical bias in pretrained language models
  ☆191Updated 2 years ago