Alternatives and similar repositories for fast-dpsgd

Users that are interested in fast-dpsgd are comparing it to the libraries listed below

• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆94Updated 2 months ago
• twistedcubic / coin-press
  [NeurIPS 2020] Simple and practical private mean and covariance estimation.
  ☆35Updated 4 years ago
• differentialprivacy / differentialprivacy
  Github pages backend for https://differentialprivacy.org
  ☆26Updated last month
• tonyduan / rs4a
  Randomized Smoothing of All Shapes and Sizes (ICML 2020).
  ☆52Updated 4 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• revbucket / geometric-certificates
  Geometric Certifications of Neural Nets
  ☆42Updated 2 years ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆105Updated 4 years ago
• google-research / dp-imagenet
  ☆37Updated 3 years ago
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆34Updated 4 years ago
• litian96 / TERM
  Tilted Empirical Risk Minimization (ICLR '21)
  ☆59Updated last year
• amzn / differential-privacy-bayesian-optimization
  This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"
  ☆27Updated 2 years ago
• facebookresearch / tan
  Computationally friendly hyper-parameter search with DP-SGD
  ☆25Updated 5 months 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
• mmalekzadeh / privacy-preserving-bandits
  Privacy-Preserving Bandits (MLSys'20)
  ☆22Updated 2 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 4 years ago
• AnonymousNIPS2019 / DeepnetHessian
  The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size
  ☆17Updated 6 years ago
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• alshedivat / fedpa
  Federated posterior averaging implemented in JAX
  ☆51Updated 2 years ago
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 4 years ago
• gibipara92 / learning-explanations-hard-to-vary
  Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …
  ☆39Updated 4 years ago
• ChrisWaites / pyvacy
  Differentially Private Optimization for PyTorch 👁🙅‍♀️
  ☆186Updated 5 years ago
• dhroth / sketchedsgd
  Sketched SGD
  ☆28Updated 4 years ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆111Updated 5 years ago
• fKunstner / fast-individual-gradients-with-autodiff
  ☆26Updated 6 years ago
• google-research / heldout-influence-estimation
  ☆62Updated 4 years ago
• locuslab / perturbation_learning
  Learning perturbation sets for robust machine learning
  ☆65Updated 3 years ago
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆49Updated 4 years ago
• google-deepmind / informed_adversary_mnist_reconstruction
  ☆18Updated 3 years ago
• js-d / sim_metric
  ☆35Updated last year
• singlasahil14 / barlow
  Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
  ☆36Updated 3 years ago