Alternatives and similar repositories for dp-imagenet

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

• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆94Updated 2 months ago
• google-deepmind / informed_adversary_mnist_reconstruction
  ☆18Updated 3 years ago
• facebookresearch / tan
  Computationally friendly hyper-parameter search with DP-SGD
  ☆25Updated 5 months ago
• woodyx218 / opacus_global_clipping
  ☆15Updated 2 years ago
• google-research / public-data-in-dpfl
  ☆22Updated 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
  ☆34Updated 4 years ago
• TheSalon / fast-dpsgd
  Code for fast dpsgd implementations in JAX/TF
  ☆59Updated 2 years ago
• facebookresearch / bounding_data_reconstruction
  Repo for the paper "Bounding Training Data Reconstruction in Private (Deep) Learning".
  ☆11Updated 2 years ago
• litian96 / AdaDPS
  Private Adaptive Optimization with Side Information (ICML '22)
  ☆16Updated 3 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• JialinMao / private_CNN
  ☆10Updated 3 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• Hazelsuko07 / InstaHide
  InstaHide: Instance-hiding Schemes for Private Distributed Learning
  ☆50Updated 4 years ago
• shrezaei / MI-Attack
  ☆31Updated 9 months ago
• google-research / DP-FTRL
  DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.
  ☆29Updated 3 weeks ago
• facebookresearch / dp_compression
  Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".
  ☆19Updated 2 years ago
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆19Updated 2 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 4 years ago
• sarus-tech / dp-xgboost
  ☆23Updated last year
• litian96 / TERM
  Tilted Empirical Risk Minimization (ICLR '21)
  ☆59Updated last year
• tml-epfl / adv-training-corruptions
  On the effectiveness of adversarial training against common corruptions [UAI 2022]
  ☆30Updated 3 years ago
• spliew / shuffgauss
  ☆10Updated last year
• ethz-spylab / realistic-adv-examples
  Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]
  ☆20Updated last year
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆73Updated last year
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆50Updated 2 years ago
• facebookresearch / fisher_information_loss
  This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"
  ☆50Updated 3 years ago
• sam-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆37Updated 6 years ago
• JunyiZhu-AI / R-GAP
  R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]
  ☆37Updated 2 years ago