Alternatives and similar repositories for SanText

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

• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆76Updated 3 years ago
• wyshi / lm_privacy
  ☆21Updated 4 years ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆178Updated 2 years ago
• ftramer / LM_Memorization
  Training data extraction on GPT-2
  ☆193Updated 2 years ago
• Chen-X666 / privacy-preserving-prompt
  Privacy-Preserving Prompt Tuning for Large Language Model
  ☆28Updated last year
• benchmarkpaper / Benchmarking-Differential-Privacy-and-FederatedLearning-for-Healthcare-Data
  ☆19Updated 4 years ago
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆143Updated last year
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆74Updated 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
• VITA-Group / DP-OPT
  [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
  ☆46Updated last year
• microsoft / dp-few-shot-generation
  ☆28Updated last year
• Princeton-SysML / FILM
  Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)
  ☆61Updated 2 years ago
• lishaofeng / NLP_Backdoor
  Hidden backdoor attack on NLP systems
  ☆47Updated 4 years ago
• csong27 / auditing-text-generation
  Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)
  ☆10Updated 6 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆110Updated 2 years ago
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆129Updated last year
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆135Updated 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
• csong27 / membership-inference
  Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
  ☆201Updated 8 years ago
• thunlp / HiddenKiller
  Code and data of the ACL-IJCNLP 2021 paper "Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger"
  ☆43Updated 3 years ago
• Hazelsuko07 / TextHide
  TextHide: Tackling Data Privacy in Language Understanding Tasks
  ☆31Updated 4 years ago
• thunlp / OpenBackdoor
  An open-source toolkit for textual backdoor attack and defense (NeurIPS 2022 D&B, Spotlight)
  ☆195Updated 2 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆91Updated last year
• reza321 / T-Miner
  ☆19Updated last year
• HongshengHu / membership-inference-machine-learning-literature
  ☆359Updated last week
• thunlp / ONION
  Official implementation of the EMNLP 2021 paper "ONION: A Simple and Effective Defense Against Textual Backdoor Attacks"
  ☆35Updated 4 years ago
• BielStela / membership_inference
  Python package to create adversarial agents for membership inference attacks againts machine learning models
  ☆47Updated 6 years ago
• Samuel-Maddock / pure-LDP
  Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.
  ☆78Updated 2 weeks ago
• xiangyue9607 / Sentence-LDP
  Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"
  ☆12Updated 2 years ago
• meng-wenlong / LMSanitator
  ☆25Updated 2 years ago