dayu11 / Gradient-Embedding-Perturbation

Related projects ⓘ

Alternatives and complementary repositories for Gradient-Embedding-Perturbation

• woodyx218 / opacus_global_clipping
  ☆13Updated last year
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆102Updated last year
• google-research / public-data-in-dpfl
  ☆22Updated last year
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆35Updated 2 years ago
• JunyiZhu-AI / R-GAP
  R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]
  ☆34Updated last year
• 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
• litian96 / AdaDPS
  Private Adaptive Optimization with Side Information (ICML '22)
  ☆16Updated 2 years ago
• JialinMao / private_CNN
  ☆10Updated 2 years ago
• eth-sri / bayes-framework-leakage
  ☆11Updated 2 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆30Updated 2 years ago
• mkhodak / FedEx
  ☆12Updated 3 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
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆34Updated 3 years ago
• gdisag / gradient_disaggregation
  ☆14Updated 10 months ago
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated last year
• google-research / DP-FTRL
  DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.
  ☆25Updated 3 months ago
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆19Updated last year
• google-deepmind / informed_adversary_mnist_reconstruction
  ☆16Updated 2 years ago
• Princeton-SysML / FILM
  Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)
  ☆57Updated last year
• DPBayes / ADADP
  Learning rate adaptation for differentially private stochastic gradient descent
  ☆16Updated 3 years ago
• ftramer / Handcrafted-DP
  ☆79Updated 2 years ago
• shrezaei / MI-Attack
  ☆32Updated 2 months ago
• AI-secure / FLBenchmark-toolkit
  Federated Learning Framework Benchmark (UniFed)
  ☆47Updated last year
• krishnap25 / simplicial-fl
  Simplicial-FL to manage client device heterogeneity in Federated Learning
  ☆21Updated last year
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆53Updated 5 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆55Updated last year
• csong27 / auditing-text-generation
  Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)
  ☆9Updated 5 years ago
• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆56Updated 3 months ago
• SPIN-UMass / ML-Privacy-Regulization
  ☆25Updated 5 years ago
• woodyx218 / Deep-Learning-with-GDP-Pytorch
  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
  ☆31Updated 3 years ago