ParkLabML / DP-MERF

Related projects ⓘ

Alternatives and complementary repositories for DP-MERF

• AI-secure / G-PATE
  [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…
  ☆30Updated 3 years ago
• DingfanChen / GS-WGAN
  Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)
  ☆66Updated 2 years ago
• jeremy43 / Private_kNN
  ☆24Updated 2 years ago
• JialinMao / private_CNN
  ☆10Updated 2 years ago
• samuel-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆38Updated 5 years ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆67Updated 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…
  ☆37Updated 2 years ago
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆35Updated 2 years ago
• ftramer / Handcrafted-DP
  ☆78Updated 2 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆30Updated 2 years ago
• Hazelsuko07 / EMA
  ☆13Updated 3 years ago
• woodyx218 / opacus_global_clipping
  ☆13Updated last year
• ebagdasa / pytorch-privacy
  simple Differential Privacy in PyTorch
  ☆48Updated 4 years ago
• DPBayes / ADADP
  Learning rate adaptation for differentially private stochastic gradient descent
  ☆16Updated 3 years ago
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆88Updated 4 months ago
• lhfowl / robbing_the_fed
  ☆23Updated 2 years ago
• google-research / public-data-in-dpfl
  ☆22Updated last year
• reihaneh-torkzadehmahani / DP-CGAN
  Differentially Private Conditional Generative Adversarial Network
  ☆30Updated 3 years ago
• facebookresearch / tan
  Computationally friendly hyper-parameter search with DP-SGD
  ☆22Updated 2 years ago
• litian96 / AdaDPS
  Private Adaptive Optimization with Side Information (ICML '22)
  ☆16Updated 2 years ago
• nv-tlabs / DP-Sinkhorn_code
  ☆11Updated 2 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated last year
• shrezaei / MI-Attack
  ☆32Updated 2 months ago
• mkhodak / FedEx
  ☆12Updated 3 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆46Updated 2 years ago
• google-deepmind / informed_adversary_mnist_reconstruction
  ☆16Updated 2 years ago
• woodyx218 / private_vision
  ☆10Updated last year
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆63Updated 3 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆101Updated last year
• zhenglisec / Label-Only-MIA
  ☆19Updated last month