Alternatives and similar repositories for GS-WGAN:

Users that are interested in GS-WGAN are comparing it to the libraries listed below

• illidanlab / dpgan
  Source code of paper "Differentially Private Generative Adversarial Network"
  ☆67Updated 6 years ago
• ebagdasa / pytorch-privacy
  simple Differential Privacy in PyTorch
  ☆48Updated 4 years ago
• reihaneh-torkzadehmahani / DP-CGAN
  Differentially Private Conditional Generative Adversarial Network
  ☆30Updated 3 years ago
• DingfanChen / GAN-Leaks
  Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)
  ☆47Updated 2 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆30Updated 2 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 2 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆64Updated 3 years ago
• PatrickZH / Improved-Deep-Leakage-from-Gradients
  The code for "Improved Deep Leakage from Gradients" (iDLG).
  ☆146Updated 3 years ago
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆37Updated 3 years ago
• 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
• woodyx218 / opacus_global_clipping
  ☆13Updated last year
• ParkLabML / DP-MERF
  ☆16Updated last year
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 2 years ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆57Updated 5 years ago
• jeremy43 / Private_kNN
  ☆24Updated 2 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆67Updated 2 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆104Updated 2 years ago
• ppmlguy / DP-AGD
  Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget
  ☆49Updated 6 years ago
• srxzr / DPSGD
  ☆20Updated 5 years ago
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 2 years ago
• Jaskiee / GAN-Attack-against-Federated-Deep-Learning
  The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.
  ☆60Updated last year
• thecml / dpsgd-optimizer
  Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…
  ☆40Updated 9 months ago
• sam-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆38Updated 5 years ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆72Updated 3 years ago
• epfml / byzantine-robust-noniid-optimizer
  ☆15Updated 2 years ago
• shilab / DP-MIA
  Differential Privacy Protection against MembershipInference Attack on Machine Learning for Genomic Data
  ☆16Updated 4 years ago
• BielStela / membership_inference
  Python package to create adversarial agents for membership inference attacks againts machine learning models
  ☆46Updated 5 years ago
• jhayes14 / gen_mem_inf
  Membership Inference of Generative Models
  ☆15Updated 5 years ago
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆15Updated last year
• inspire-group / ModelPoisoning
  Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
  ☆147Updated 2 years ago