Alternatives and similar repositories for DP-HyperparamTuning

Users that are interested in DP-HyperparamTuning are comparing it to the libraries listed below

• woodyx218 / opacus_global_clipping
  ☆15Updated 2 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆56Updated 2 years ago
• woodyx218 / Deep-Learning-with-GDP-Pytorch
  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
  ☆33Updated 4 years ago
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆62Updated 8 months 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
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆108Updated 2 years ago
• srxzr / DPSGD
  ☆20Updated 6 years ago
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆121Updated last month
• thecml / dpsgd-optimizer
  Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…
  ☆41Updated last year
• spliew / shuffgauss
  ☆10Updated last year
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆32Updated 3 years ago
• git-disl / CPL_attack
  ☆37Updated 3 years ago
• google-research / public-data-in-dpfl
  ☆22Updated 2 years ago
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 2 years ago
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆94Updated 2 months ago
• jeremy43 / Private_kNN
  ☆24Updated 3 years ago
• dayu11 / Improved-DP-SGD
  Improved DP-SGD for optimizing
  ☆18Updated 6 years ago
• git-disl / Fed-CDP
  Gradient-Leakage Resilient Federated Learning
  ☆13Updated 2 years ago
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆34Updated 4 years ago
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated last year
• gkaissis / deepee
  Differentially Private Deep Learning in PyTorch
  ☆29Updated 3 years ago
• kamathhrishi / PATE
  Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…
  ☆44Updated 3 years ago
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆48Updated 6 years ago
• HongshengHu / source-inference-FL
  ☆13Updated 3 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• eth-sri / tableak
  TabLeak: Tabular Data Leakage in Federated Learning
  ☆15Updated 11 months ago
• DPBayes / ADADP
  Learning rate adaptation for differentially private stochastic gradient descent
  ☆16Updated 4 years ago
• woodyx218 / Deep-Learning-with-GDP-Tensorflow
  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
  ☆49Updated 4 years ago
• haiphanNJIT / SecureSGD
  Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).
  ☆13Updated 4 years ago
• desternylin / perfed
  ☆16Updated last year