Alternatives and similar repositories for LM_PersonalInfoLeak

Users that are interested in LM_PersonalInfoLeak are comparing it to the libraries listed below

• wyshi / lm_privacy
  ☆18Updated 3 years ago
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆34Updated 11 months ago
• leix28 / prompt-universal-vulnerability
  Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022
  ☆29Updated 2 years 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
  ☆36Updated 2 years ago
• mireshghallah / ft-memorization
  ☆13Updated 2 years ago
• xlhex / dpnlp
  ☆9Updated 4 years ago
• xiangyue9607 / Sentence-LDP
  Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"
  ☆12Updated 2 years ago
• amazon-science / controlling-llm-memorization
  ☆36Updated 2 years ago
• Vaidehi99 / InfoDeletionAttacks
  ☆44Updated 4 months ago
• xlhex / cater_neurips
  ☆6Updated 2 years ago
• AlexWan0 / Poisoning-Instruction-Tuned-Models
  ☆57Updated last year
• lancopku / Embedding-Poisoning
  Code for the paper "Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models" (NAACL-…
  ☆41Updated 3 years ago
• csong27 / collision-bert
  ☆26Updated 4 years ago
• thunlp / ONION
  Official implementation of the EMNLP 2021 paper "ONION: A Simple and Effective Defense Against Textual Backdoor Attacks"
  ☆33Updated 3 years ago
• parameterlab / mia-scaling
  Source code of NAACL 2025 Findings "Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models"
  ☆10Updated 4 months ago
• Hazelsuko07 / TextHide
  TextHide: Tackling Data Privacy in Language Understanding Tasks
  ☆31Updated 4 years ago
• alvinchangw / CARA_EMNLP2020
  Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)
  ☆15Updated 4 years ago
• 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
• neulab / RIPPLe
  Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)
  ☆141Updated 3 years ago
• QData / TextAttack-A2T
  A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)
  ☆26Updated 3 years ago
• weichen-yu / LM-Extraction
  ☆43Updated 2 years ago
• skywalker023 / confaide
  🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…
  ☆42Updated last year
• VITA-Group / DP-OPT
  [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
  ☆43Updated last year
• xinleihe / toxic-prompt
  ☆24Updated last year
• eth-sri / SynthPAI
  A Synthetic Dataset for Personal Attribute Inference (NeurIPS'24 D&B)
  ☆43Updated 6 months ago
• salesforce / fast-influence-functions
  ☆89Updated last month
• ftramer / LM_Memorization
  Training data extraction on GPT-2
  ☆187Updated 2 years ago
• ebagdasa / propaganda_as_a_service
  Code for paper: "Spinning Language Models: Risks of Propaganda-as-a-Service and Countermeasures"
  ☆22Updated 3 years ago
• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆73Updated 3 years ago
• ejones313 / auditing-llms
  ☆54Updated 2 years ago