Alternatives and similar repositories for jax_privacy

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

• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆73Updated last year
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆175Updated 2 years ago
• google-research / dp-imagenet
  ☆37Updated 3 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆32Updated 3 years ago
• woodyx218 / opacus_global_clipping
  ☆15Updated 2 years ago
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆121Updated last month
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆34Updated 4 years ago
• woodyx218 / private_vision
  ☆11Updated last year
• facebookresearch / Opacus-lab
  Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy
  ☆18Updated 8 months ago
• google-research / public-data-in-dpfl
  ☆22Updated 2 years ago
• ChrisWaites / pyvacy
  Differentially Private Optimization for PyTorch 👁🙅‍♀️
  ☆186Updated 5 years ago
• google-research / DP-FTRL
  DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.
  ☆29Updated 3 weeks ago
• cleverhans-lab / capc-iclr
  CaPC is a method that enables collaborating parties to improve their own local heterogeneous machine learning models in a setting where b…
  ☆26Updated 3 years ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆274Updated last year
• facebookresearch / dp_compression
  Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".
  ☆19Updated 2 years ago
• TheSalon / fast-dpsgd
  Code for fast dpsgd implementations in JAX/TF
  ☆59Updated 2 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• facebookresearch / tan
  Computationally friendly hyper-parameter search with DP-SGD
  ☆25Updated 5 months ago
• google-deepmind / informed_adversary_mnist_reconstruction
  ☆18Updated 3 years ago
• JialinMao / private_CNN
  ☆10Updated 3 years ago
• alshedivat / fedpa
  Federated posterior averaging implemented in JAX
  ☆51Updated 2 years ago
• microsoft / DPSDA
  Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]
  ☆97Updated 3 weeks ago
• shrezaei / MI-Attack
  ☆31Updated 9 months ago
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆139Updated 9 months ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆108Updated 2 years ago
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆38Updated 3 years ago
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆48Updated 6 years ago
• JunyiZhu-AI / R-GAP
  R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]
  ☆37Updated 2 years ago