xiangyue9607 / SanText

Related projects ⓘ

Alternatives and complementary repositories for SanText

• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆66Updated 2 years ago
• benchmarkpaper / Benchmarking-Differential-Privacy-and-FederatedLearning-for-Healthcare-Data
  ☆17Updated 3 years ago
• wyshi / lm_privacy
  ☆18Updated 3 years ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆159Updated last year
• trusthlt / dp-bart-private-rewriting
  DP-BART for Privatized Text Rewriting under Local Differential Privacy
  ☆14Updated 3 weeks ago
• Princeton-SysML / FILM
  Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)
  ☆57Updated last year
• csong27 / auditing-text-generation
  Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)
  ☆9Updated 5 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆129Updated last year
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆70Updated 9 months ago
• kamathhrishi / PATE
  Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…
  ☆42Updated 2 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆102Updated last year
• QinbinLi / DPBoost
  Privacy-Preserving Gradient Boosting Decision Trees (AAAI 2020)
  ☆24Updated last year
• csong27 / membership-inference
  Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
  ☆187Updated 7 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…
  ☆85Updated 3 months ago
• xlhex / dpnlp
  ☆10Updated 4 years ago
• jinyuan-jia / MemGuard
  ☆45Updated 5 years ago
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆123Updated 7 months ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆30Updated 2 years ago
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆124Updated 2 months ago
• VITA-Group / DP-OPT
  [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
  ☆32Updated 5 months ago
• cleverhans-lab / machine-unlearning
  ☆165Updated last year
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆46Updated 2 years ago
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆56Updated last month
• Hazelsuko07 / TextHide
  TextHide: Tackling Data Privacy in Language Understanding Tasks
  ☆30Updated 3 years ago
• BielStela / membership_inference
  Python package to create adversarial agents for membership inference attacks againts machine learning models
  ☆47Updated 5 years ago
• ebagdasa / pytorch-privacy
  simple Differential Privacy in PyTorch
  ☆48Updated 4 years ago
• hyhmia / BlindMI
  ☆23Updated 2 years ago
• 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
  ☆63Updated 5 months ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆86Updated 3 months ago
• HongshengHu / membership-inference-machine-learning-literature
  ☆290Updated this week