Alternatives and similar repositories for public-data-in-dpfl

Users that are interested in public-data-in-dpfl are comparing it to the libraries listed below

• woodyx218 / opacus_global_clipping
  ☆15Updated 2 years ago
• JialinMao / private_CNN
  ☆10Updated 3 years ago
• litian96 / AdaDPS
  Private Adaptive Optimization with Side Information (ICML '22)
  ☆16Updated 3 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• shrezaei / MI-Attack
  ☆31Updated 9 months ago
• krishnap25 / simplicial-fl
  Simplicial-FL to manage client device heterogeneity in Federated Learning
  ☆22Updated last year
• Princeton-SysML / FILM
  Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)
  ☆56Updated 2 years ago
• srxzr / DPSGD
  ☆20Updated 6 years ago
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆34Updated 4 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
• 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
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆19Updated 2 years ago
• jinyuan-jia / BaggingCertifyDataPoisoning
  ☆10Updated 4 years ago
• cuis15 / FCFL
  ☆20Updated 3 years ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆50Updated 2 years ago
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆24Updated 2 years 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 / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆32Updated 3 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆108Updated 2 years ago
• BielStela / membership_inference
  Python package to create adversarial agents for membership inference attacks againts machine learning models
  ☆47Updated 6 years ago
• google-deepmind / informed_adversary_mnist_reconstruction
  ☆18Updated 3 years ago
• microsoft / dp-few-shot-generation
  ☆26Updated last year
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 2 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated last year
• SPIN-UMass / ML-Privacy-Regulization
  ☆26Updated 6 years ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆60Updated 6 years ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆22Updated 3 years ago
• lhfowl / robbing_the_fed
  ☆25Updated 3 years ago
• DeRafael / CAFE
  ☆21Updated 3 years ago