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
  ☆72Updated 2 years ago
• wyshi / lm_privacy
  ☆18Updated 3 years ago
• trusthlt / dp-bart-private-rewriting
  DP-BART for Privatized Text Rewriting under Local Differential Privacy
  ☆16Updated 5 months ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆171Updated 2 years ago
• Chen-X666 / privacy-preserving-prompt
  Privacy-Preserving Prompt Tuning for Large Language Model
  ☆24Updated last year
• Princeton-SysML / FILM
  Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)
  ☆56Updated 2 years ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆73Updated last year
• benchmarkpaper / Benchmarking-Differential-Privacy-and-FederatedLearning-for-Healthcare-Data
  ☆19Updated 3 years ago
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆136Updated 7 months ago
• xlhex / dpnlp
  ☆9Updated 4 years ago
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆126Updated last year
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆131Updated 2 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆108Updated 2 years ago
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆58Updated 6 months ago
• csong27 / auditing-text-generation
  Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)
  ☆9Updated 5 years ago
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• csong27 / membership-inference
  Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
  ☆193Updated 7 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆31Updated 3 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆47Updated 2 years ago
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆47Updated 6 years ago
• whopriyam / Benchmarking-Differential-Privacy-and-Federated-Learning-for-BERT-Models
  ☆17Updated 2 years ago
• xiangyue9607 / DP-Forward
  ☆21Updated last year
• 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.
  ☆74Updated last year
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆144Updated 2 years ago
• QinbinLi / DPBoost
  Privacy-Preserving Gradient Boosting Decision Trees (AAAI 2020)
  ☆25Updated last year
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆53Updated 5 years ago
• jinyuan-jia / MemGuard
  ☆45Updated 5 years ago
• xinjianluo / featureinference-vfl
  ☆25Updated 3 years ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆60Updated 5 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆87Updated 8 months ago