Alternatives and similar repositories for Extracting-Training-Data-from-Large-Langauge-Models

Users that are interested in Extracting-Training-Data-from-Large-Langauge-Models are comparing it to the libraries listed below

• ftramer / LM_Memorization
  Training data extraction on GPT-2
  ☆193Updated 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
• wyshi / lm_privacy
  ☆21Updated 4 years ago
• neulab / RIPPLe
  Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)
  ☆142Updated last month
• google-research / lm-extraction-benchmark
  ☆293Updated 2 months ago
• csong27 / collision-bert
  ☆25Updated 4 years ago
• mireshghallah / ft-memorization
  ☆13Updated 3 years ago
• amazon-science / controlling-llm-memorization
  ☆38Updated 2 years ago
• facebookresearch / text-adversarial-attack
  Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"
  ☆109Updated 2 years ago
• AlexWan0 / Poisoning-Instruction-Tuned-Models
  ☆56Updated last year
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆41Updated last year
• leix28 / prompt-universal-vulnerability
  Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022
  ☆30Updated 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
• VITA-Group / DP-OPT
  [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
  ☆46Updated last year
• 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
• weichen-yu / LM-Extraction
  ☆43Updated 2 years ago
• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆75Updated 3 years ago
• lancopku / Embedding-Poisoning
  Code for the paper "Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models" (NAACL-…
  ☆42Updated 4 years ago
• microsoft / dp-few-shot-generation
  ☆28Updated last year
• Hazelsuko07 / TextHide
  TextHide: Tackling Data Privacy in Language Understanding Tasks
  ☆31Updated 4 years ago
• QData / TextAttack-A2T
  A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)
  ☆26Updated 4 years ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆176Updated 2 years ago
• xiangyue9607 / Sentence-LDP
  Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"
  ☆12Updated 2 years ago
• ebagdasa / propaganda_as_a_service
  Code for paper: "Spinning Language Models: Risks of Propaganda-as-a-Service and Countermeasures"
  ☆21Updated 3 years ago
• thunlp / StyleAttack
  Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer"
  ☆46Updated 3 years ago
• nickboucher / imperceptible
  Bad Characters: Imperceptible NLP Attacks
  ☆35Updated last year
• Princeton-SysML / kNNLM_privacy
  Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888
  ☆36Updated last year
• thu-coai / Targeted-Data-Extraction
  Official Code for ACL 2023 paper: "Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confid…
  ☆23Updated 2 years ago
• xiangyue9607 / SanText
  Code for Findings of ACL 2021 "Differential Privacy for Text Analytics via Natural Text Sanitization"
  ☆29Updated 3 years ago
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆143Updated last year