Alternatives and similar repositories for responsible-ai-toolbox-privacy

Users that are interested in responsible-ai-toolbox-privacy are comparing it to the libraries listed below

• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆143Updated last year
• 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
• microsoft / MICO
  Membership Inference Competition
  ☆31Updated 2 years ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆74Updated last year
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆176Updated 2 years ago
• microsoft / DPSDA
  Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]
  ☆103Updated last month
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆107Updated this week
• microsoft / responsible-ai-toolbox-mitigations
  Python library for implementing Responsible AI mitigations.
  ☆68Updated last year
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆128Updated last year
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆33Updated 4 years ago
• AI-secure / aug-pe
  [ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text
  ☆48Updated 9 months ago
• sarus-tech / dp-xgboost
  ☆24Updated last year
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆75Updated 3 years ago
• ftramer / LM_Memorization
  Training data extraction on GPT-2
  ☆193Updated 2 years ago
• microsoft / dp-few-shot-generation
  ☆28Updated last year
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆134Updated 2 months ago
• jeffhj / LM_PersonalInfoLeak
  The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)
  ☆24Updated 3 years ago
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆19Updated 2 years ago
• BielStela / membership_inference
  Python package to create adversarial agents for membership inference attacks againts machine learning models
  ☆46Updated 6 years ago
• Hazelsuko07 / TextHide
  TextHide: Tackling Data Privacy in Language Understanding Tasks
  ☆31Updated 4 years ago
• AI-secure / G-PATE
  [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…
  ☆30Updated 4 years ago
• privML / privacy-evaluator
  The privML Privacy Evaluator is a tool that assesses ML model's levels of privacy by running different attacks on it.
  ☆18Updated 4 years ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆150Updated 2 years ago
• xiangyue9607 / SanText
  Code for Findings of ACL 2021 "Differential Privacy for Text Analytics via Natural Text Sanitization"
  ☆29Updated 3 years ago
• wyshi / lm_privacy
  ☆21Updated 4 years ago
• microsoft / OpenMSFTL
  Research simulation toolkit for federated learning
  ☆12Updated 4 years ago
• ebagdasa / propaganda_as_a_service
  Code for paper: "Spinning Language Models: Risks of Propaganda-as-a-Service and Countermeasures"
  ☆21Updated 3 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• sam-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆39Updated 6 years ago