☆80May 22, 2022Updated 4 years ago
Alternatives and similar repositories for Handcrafted-DP
Users that are interested in Handcrafted-DP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆15Jun 5, 2023Updated 3 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆78Feb 15, 2024Updated 2 years ago
- DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release (VLDB' 2024)☆27Jan 25, 2025Updated last year
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Apr 15, 2024Updated 2 years ago
- A codebase that makes differentially private training of transformers easy.☆189Dec 9, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Training PyTorch models with differential privacy☆1,933May 20, 2026Updated 3 weeks ago
- [NeurIPS 2020] Simple and practical private mean and covariance estimation.☆35Oct 4, 2020Updated 5 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆64Jun 16, 2020Updated 5 years ago
- ☆10Apr 21, 2022Updated 4 years ago
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆10Jun 18, 2019Updated 6 years ago
- ☆37Mar 16, 2022Updated 4 years ago
- Function Secret Sharing library for Python and Rust with hardware acceleration (PETS '22)☆56Jul 24, 2023Updated 2 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆175Updated this week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆27Dec 15, 2022Updated 3 years ago
- ☆20Jun 1, 2022Updated 4 years ago
- Code for Auditing DPSGD☆39Feb 15, 2022Updated 4 years ago
- ☆10Jun 4, 2021Updated 5 years ago
- This is a python script to generate nice bibtex file for latex.☆19Mar 1, 2020Updated 6 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆715Apr 26, 2025Updated last year
- Inference on non-linear dynamical systems written in JAX☆11Aug 20, 2020Updated 5 years ago
- PyTorch implementation of a number of mechanisms in local differential privacy☆17Feb 17, 2022Updated 4 years ago
- Robust Differentially Private Training of Deep Neural Networks☆12Dec 10, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆57Mar 16, 2021Updated 5 years ago
- Fork of the differential privacy module of TF/models/research☆14Oct 9, 2019Updated 6 years ago
- [MICCAI2023] Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging☆17Aug 2, 2024Updated last year
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆84Nov 22, 2021Updated 4 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆279Dec 5, 2023Updated 2 years ago
- A School for All Seasons on Trustworthy Machine Learning☆12Jun 30, 2021Updated 4 years ago
- Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".☆11Apr 4, 2023Updated 3 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 4 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Oct 21, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …☆23Sep 7, 2021Updated 4 years ago
- ☆15Dec 7, 2021Updated 4 years ago
- CartoonX is a saliency map method for image classifiers operating in the wavelet/shearlet domain.☆10Feb 23, 2026Updated 3 months ago
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆16Sep 18, 2020Updated 5 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Oct 4, 2022Updated 3 years ago
- Public implementation of ICML'19 paper "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference"☆18May 28, 2020Updated 6 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆36Dec 28, 2021Updated 4 years ago