Alternatives and similar repositories for mia-scaling

Users that are interested in mia-scaling are comparing it to the libraries listed below

• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆75Updated 3 years ago
• ftramer / LM_Memorization
  Training data extraction on GPT-2
  ☆190Updated 2 years ago
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆36Updated last year
• xiangyue9607 / Sentence-LDP
  Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"
  ☆12Updated 2 years ago
• wagner-group / MarkMyWords
  ☆30Updated last year
• iamgroot42 / mimir
  Python package for measuring memorization in LLMs.
  ☆161Updated 3 weeks ago
• centerforaisafety / tdc2023-starter-kit
  This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.
  ☆90Updated last year
• thunlp / HiddenKiller
  Code and data of the ACL-IJCNLP 2021 paper "Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger"
  ☆43Updated 2 years ago
• computationalprivacy / mia_llms_benchmark
  Benchmarking MIAs against LLMs.
  ☆21Updated 10 months ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆175Updated 2 years ago
• thunlp / OpenBackdoor
  An open-source toolkit for textual backdoor attack and defense (NeurIPS 2022 D&B, Spotlight)
  ☆185Updated 2 years ago
• aounon / certified-llm-safety
  ☆41Updated 11 months ago
• eth-sri / SynthPAI
  A Synthetic Dataset for Personal Attribute Inference (NeurIPS'24 D&B)
  ☆43Updated last week
• Princeton-SysML / FILM
  Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)
  ☆58Updated 2 years ago
• phycholosogy / RAG-privacy
  The code for paper "The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)", exploring the privacy risk o…
  ☆54Updated 6 months ago
• rotaryhammer / code-autodan
  An unofficial implementation of AutoDAN attack on LLMs (arXiv:2310.15140)
  ☆42Updated 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
• byerose / Awesome-Foundation-Model-Security
  A curated list of trustworthy Generative AI papers. Daily updating...
  ☆73Updated 11 months ago
• facebookresearch / text-adversarial-attack
  Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"
  ☆107Updated 2 years ago
• jthickstun / watermark
  Code for watermarking language models
  ☆80Updated 11 months ago
• Lyz1213 / BadEdit
  ☆32Updated 9 months ago
• mireshghallah / ft-memorization
  ☆13Updated 2 years ago
• TrustAIResearch / MLHospital
  ☆44Updated 2 years ago
• lancopku / SOS
  Code for the paper "Rethinking Stealthiness of Backdoor Attack against NLP Models" (ACL-IJCNLP 2021)
  ☆24Updated 3 years ago
• eth-sri / llmprivacy
  ☆61Updated 5 months ago
• LIONS-EPFL / Charmer
  Revisiting Character-level Adversarial Attacks for Language Models, ICML 2024
  ☆16Updated 5 months ago
• llm-editing / editing-attack
  Code and dataset for the paper: "Can Editing LLMs Inject Harm?"
  ☆21Updated 8 months ago
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆85Updated last year
• arobey1 / smooth-llm
  ☆104Updated last year
• alps-lab / trojan-lm
  TrojanLM: Trojaning Language Models for Fun and Profit
  ☆16Updated 4 years ago