Alternatives and similar repositories for dp-imagenet

Users that are interested in dp-imagenet are comparing it to the libraries listed below

• TheSalon / fast-dpsgd
  Code for fast dpsgd implementations in JAX/TF
  ☆59Updated 2 years ago
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆105Updated last month
• google-research / public-data-in-dpfl
  ☆23Updated 2 years ago
• woodyx218 / opacus_global_clipping
  ☆15Updated 2 years ago
• alshedivat / fedpa
  Federated posterior averaging implemented in JAX
  ☆51Updated 2 years ago
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆33Updated 4 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 4 years ago
• twistedcubic / coin-press
  [NeurIPS 2020] Simple and practical private mean and covariance estimation.
  ☆36Updated 5 years ago
• litian96 / AdaDPS
  Private Adaptive Optimization with Side Information (ICML '22)
  ☆16Updated 3 years ago
• facebookresearch / tan
  Computationally friendly hyper-parameter search with DP-SGD
  ☆26Updated 9 months ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆74Updated last year
• google-deepmind / informed_adversary_mnist_reconstruction
  ☆18Updated 3 years ago
• Hazelsuko07 / InstaHide
  InstaHide: Instance-hiding Schemes for Private Distributed Learning
  ☆50Updated 4 years ago
• wuyinjun-1993 / DeltaGrad
  ☆30Updated 4 years ago
• JialinMao / private_CNN
  ☆10Updated 3 years ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆275Updated last year
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆176Updated 2 years ago
• litian96 / TERM
  Tilted Empirical Risk Minimization (ICLR '21)
  ☆60Updated last year
• 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
• krishnap25 / simplicial-fl
  Simplicial-FL to manage client device heterogeneity in Federated Learning
  ☆22Updated 2 years ago
• JunyiZhu-AI / R-GAP
  R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]
  ☆37Updated 2 years ago
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• google-parfait / dataset_grouper
  Libraries for efficient and scalable group-structured dataset pipelines.
  ☆25Updated 3 months ago
• antoniobarbalau / black-box-ripper
  Black-Box Ripper: Copying black-box models using generative evolutionary algorithms - NIPS 2020 - Official Implementation
  ☆28Updated 4 years ago
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆131Updated 2 years ago
• wyshi / lm_privacy
  ☆21Updated 4 years ago
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆143Updated last year
• AI-secure / aug-pe
  [ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text
  ☆46Updated 9 months ago