Alternatives and similar repositories for Daisy

Users that are interested in Daisy are comparing it to the libraries listed below

• caicre / PrivMRF
  An implementation of "Data Synthesis via Differentially Private Markov Random Fields"
  ☆13Updated last year
• anusii / graph-dp
  Implementations of differentially private release mechanisms for graph statistics
  ☆24Updated 3 years ago
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆47Updated last year
• AI-secure / LinkTeller
  [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …
  ☆23Updated 3 years ago
• MikeXydas / DeepSqueeze
  Implementation of the DeepSqueeze paper: https://cs.brown.edu/people/acrotty/pubs/3318464.3389734.pdf
  ☆12Updated 3 years ago
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆132Updated last year
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆48Updated last year
• nusdbsystem / falcon
  ☆42Updated last year
• IBM / discrete-gaussian-differential-privacy
  Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
  ☆60Updated 4 years ago
• reihaneh-torkzadehmahani / DP-CGAN
  Differentially Private Conditional Generative Adversarial Network
  ☆31Updated 3 years ago
• Lory94 / dp-GAN
  Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data
  ☆33Updated 6 years ago
• illidanlab / dpgan
  Source code of paper "Differentially Private Generative Adversarial Network"
  ☆70Updated 6 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆135Updated 2 years ago
• mijungi / dpem_code
  ☆8Updated 8 years ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆147Updated 2 years ago
• crownpku / federated_shap
  Code for paper "Interpret Federated Learning with Shapley Values"
  ☆39Updated 6 years ago
• xinleihe / link_stealing_attack
  ☆14Updated 4 years ago
• KaiyangLi1992 / Privacy-Preserving-Social-Network-Embedding
  Implementation of Adversarial Privacy Graph Embedding in TensorFlow
  ☆20Updated 4 years ago
• haiphanNJIT / SecureSGD
  Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).
  ☆13Updated 4 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
• QinbinLi / DPBoost
  Privacy-Preserving Gradient Boosting Decision Trees (AAAI 2020)
  ☆27Updated last year
• Privacy-Graph / PrivGraph
  Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"
  ☆13Updated 2 years ago
• cmla-psu / statdp
  Statistical Counterexample Detector for Differential Privacy
  ☆28Updated last year
• nusdbsystem / ARM-Net
  A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recomme…
  ☆79Updated 2 years ago
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆48Updated 6 years ago
• dpcomp-org / dpcomp_core
  ☆43Updated 3 years ago
• ChrisWaites / descent-to-delete
  Erasing data from machine learning models! ✏️
  ☆12Updated 4 years ago
• mc2-project / federated-xgboost
  Federated gradient boosted decision tree learning
  ☆68Updated 2 years ago
• COOL-cohort / COOL
  the source code of the COOL system
  ☆46Updated 2 months ago
• xinleihe / GNNStealing
  ☆32Updated 3 years ago