Alternatives and similar repositories for privacy-preserving-bandits:

Users that are interested in privacy-preserving-bandits are comparing it to the libraries listed below

• facebookresearch / private_prediction
  The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models …
  ☆20Updated 3 years ago
• Kritikalcoder / DP-primer
  A concise primer on Differential Privacy
  ☆28Updated 4 years ago
• TheSalon / fast-dpsgd
  Code for fast dpsgd implementations in JAX/TF
  ☆58Updated 2 years ago
• facebookresearch / foltr-es
  The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published a…
  ☆33Updated 3 years ago
• realityengines / post_hoc_debiasing
  ☆17Updated 4 years ago
• jxbz / entropix
  📰 Computing the information content of trained neural networks
  ☆21Updated 3 years ago
• Eric-Wallace / data-poisoning
  Concealed Data Poisoning Attacks on NLP Models
  ☆21Updated last year
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆35Updated 3 years ago
• Hazelsuko07 / TextHide
  TextHide: Tackling Data Privacy in Language Understanding Tasks
  ☆31Updated 3 years ago
• sarus-tech / dp-xgboost
  ☆23Updated last year
• DPautoGAN / DPautoGAN
  ☆16Updated 4 years ago
• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆31Updated 3 years ago
• OpenMined / Threepio
  A multi-language library for translating commands between PyTorch, TensorFlow, and TensorFlow.js
  ☆56Updated 2 years ago
• sayakpaul / EvoNorms-in-TensorFlow-2
  Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.
  ☆11Updated 4 years ago
• apaszke / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆10Updated 4 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆27Updated 3 years ago
• awasthiabhijeet / Learning-From-Rules
  Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…
  ☆49Updated last year
• js-d / sim_metric
  ☆35Updated last year
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated 8 months ago
• carolinlawrence / gradient-rollback
  Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…
  ☆21Updated 3 years ago
• alshedivat / fedpa
  Federated posterior averaging implemented in JAX
  ☆51Updated last year
• tginart / deletion-efficient-kmeans
  Research prototype of deletion efficient k-means algorithms
  ☆23Updated 5 years ago
• nikikilbertus / blind-justice
  Blind Justice Code for the paper "Blind Justice: Fairness with Encrypted Sensitive Attributes", ICML 2018
  ☆14Updated 5 years ago
• ChrisWaites / pyvacy
  Differentially Private Optimization for PyTorch 👁🙅‍♀️
  ☆184Updated 4 years ago
• stanislavfort / OpenAI_CLIP_adversarial_examples
  Developing adversarial examples and showing their semantic generalization for the OpenAI CLIP model (https://github.com/openai/CLIP)
  ☆26Updated 3 years ago
• Eric-Wallace / adversarial-mt
  Code for "Imitation Attacks and Defenses for Black-box Machine Translations Systems"
  ☆36Updated 4 years ago
• capeprivacy / tf-world-tutorial
  TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
  ☆46Updated last year
• tonyduan / rs4a
  Randomized Smoothing of All Shapes and Sizes (ICML 2020).
  ☆52Updated 4 years ago
• google-research / dp-imagenet
  ☆36Updated 2 years ago
• uber-research / loss-change-allocation
  ☆61Updated last year