Alternatives and similar repositories for LM_PersonalInfoLeak

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

• ftramer / LM_Memorization
  Training data extraction on GPT-2
  ☆194Updated 2 years ago
• mireshghallah / ft-memorization
  ☆13Updated 3 years ago
• wyshi / lm_privacy
  ☆21Updated 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
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆43Updated last year
• leix28 / prompt-universal-vulnerability
  Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022
  ☆31Updated 3 years ago
• AlexWan0 / Poisoning-Instruction-Tuned-Models
  ☆57Updated 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
  ☆37Updated 3 years ago
• VITA-Group / DP-OPT
  [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
  ☆46Updated last year
• Vaidehi99 / InfoDeletionAttacks
  ☆48Updated 10 months ago
• csong27 / collision-bert
  ☆25Updated 5 years ago
• amazon-science / controlling-llm-memorization
  ☆39Updated 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 2 weeks ago
• facebookresearch / text-adversarial-attack
  Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"
  ☆110Updated 3 years ago
• google-research / lm-extraction-benchmark
  ☆295Updated 2 weeks ago
• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆77Updated 3 years ago
• neulab / RIPPLe
  Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)
  ☆143Updated 3 months 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…
  ☆50Updated 2 years ago
• joeljang / knowledge-unlearning
  [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
  ☆86Updated last year
• QData / TextAttack-A2T
  A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)
  ☆26Updated 4 years ago
• ejones313 / auditing-llms
  ☆59Updated 2 years ago
• alvinchangw / CARA_EMNLP2020
  Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)
  ☆15Updated 5 years ago
• weichen-yu / LM-Extraction
  ☆43Updated 2 years ago
• mireshghallah / neighborhood-curvature-mia
  ☆24Updated 2 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
• ebagdasa / propaganda_as_a_service
  Code for paper: "Spinning Language Models: Risks of Propaganda-as-a-Service and Countermeasures"
  ☆21Updated 3 years ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆181Updated 3 years ago
• Princeton-SysML / kNNLM_privacy
  Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888
  ☆37Updated last year
• microsoft / dp-few-shot-generation
  ☆29Updated 2 years ago
• nickboucher / imperceptible
  Bad Characters: Imperceptible NLP Attacks
  ☆35Updated last year