Alternatives and similar repositories for capc-iclr:

Users that are interested in capc-iclr are comparing it to the libraries listed below

• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• google-research / cryptanalytic-model-extraction
  ☆47Updated 3 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 2 years ago
• pps-lab / rofl-project-code
  ☆33Updated last year
• columbia / pixeldp
  ☆64Updated 5 years ago
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆53Updated 5 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆130Updated 2 years ago
• woodyx218 / opacus_global_clipping
  ☆13Updated last year
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆30Updated 2 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
• jeremy43 / Private_kNN
  ☆24Updated 2 years ago
• suyeecav / model-targeted-poisoning
  code for model-targeted poisoning
  ☆12Updated last year
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆92Updated 8 months ago
• sam-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆38Updated 6 years ago
• cleverhans-lab / Proof-of-Learning
  ☆46Updated 3 years ago
• csl-cqu / awesome-secure-federated-learning-papers
  ☆29Updated last year
• shrezaei / MI-Attack
  ☆31Updated 6 months ago
• facebookresearch / dp_compression
  Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".
  ☆17Updated last year
• IBM / discrete-gaussian-differential-privacy
  Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
  ☆60Updated 4 years ago
• jinyuan-jia / MemGuard
  ☆45Updated 5 years ago
• Hazelsuko07 / InstaHide
  InstaHide: Instance-hiding Schemes for Private Distributed Learning
  ☆50Updated 4 years ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆73Updated last year
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆86Updated 6 months ago
• pasquini-dario / SplitNN_FSHA
  Privacy attacks on Split Learning
  ☆37Updated 3 years ago
• eth-sri / dp-sniper
  A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.
  ☆24Updated 2 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• gdisag / gradient_disaggregation
  ☆14Updated last year
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆46Updated 6 years ago
• sunblaze-ucb / dpml-benchmark
  This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.
  ☆63Updated 6 years ago
• LPD-EPFL / AggregaThor
  Byzantine-resilient distributed SGD with TensorFlow.
  ☆39Updated 4 years ago