Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.
☆31Dec 20, 2025Updated 9 months ago
Alternatives and similar repositories for Laplace-and-Exponential-mechanisms-for-privacy
Users that are interested in Laplace-and-Exponential-mechanisms-for-privacy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python implementation of differential privacy using Laplace mechanism☆11Apr 13, 2026Updated 6 months ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Apr 29, 2021Updated 5 years ago
- Applying differential privacy to movie recommendation system to guarantee the privacy of individual user ratings.☆11Nov 15, 2017Updated 8 years ago
- Differential private machine learning☆200Feb 10, 2022Updated 4 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆52Oct 7, 2018Updated 8 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- This repo contains code/learning resources related to Homomorphic Encryption.☆26Oct 12, 2019Updated 7 years ago
- Implementation of local differential privacy mechanisms in Python language.☆29Jul 26, 2022Updated 4 years ago
- An implementation of Deep Learning with Differential Privacy☆27Mar 25, 2023Updated 3 years ago
- Two-party Privacy-preserving Neural Network Training using Split Learning and Homomorphic Encryption (CKKS Scheme)☆13Sep 23, 2025Updated last year
- privacy preserving deep learning☆15Sep 11, 2017Updated 9 years ago
- Useful tools for differential privacy☆218Sep 11, 2022Updated 4 years ago
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆12Sep 7, 2018Updated 8 years ago
- This project studied homomorphic encryption and attempted to apply it in training machine learning models. We trained some models on plai…☆13Aug 23, 2022Updated 4 years ago
- simple Differential Privacy in PyTorch☆49May 29, 2020Updated 6 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.
- 集成 activiti 5.22.0 到 Jeecg Boot 2.4.2☆15Mar 30, 2022Updated 4 years ago
- Julia package for transfer operator spectral methods☆11Aug 14, 2024Updated 2 years ago
- LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection☆86Sep 2, 2024Updated 2 years ago
- Image Encryption Algorithm implementation using AES and Visual Cryptography☆12Aug 20, 2020Updated 6 years ago
- ☆11Oct 17, 2023Updated 3 years ago
- Accompanying source code to my Bachelor's thesis at TUHH☆11Mar 15, 2018Updated 8 years ago
- DiffieHellman, Elgamal, ECDSA & STS with elliptic curve in python☆20Aug 25, 2016Updated 10 years ago
- Codes for paper "ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations"☆17May 22, 2024Updated 2 years ago
- Here we will to store papers from bayesgroup.ru☆11Dec 15, 2016Updated 9 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Differentially private learning on distributed data (NIPS 2017)☆12Dec 5, 2017Updated 8 years ago
- Probabilistic Forecasting with Temporal Convolutional Neural Network☆11Nov 7, 2019Updated 6 years ago
- Experiments on using ChatGPT for failure mode classification☆12Sep 20, 2023Updated 3 years ago
- [IJBHI 2024] This is the official implementation of CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generati…☆11May 14, 2025Updated last year
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆79Nov 6, 2025Updated 11 months ago
- Model that will recognize whether a person wear a mask on his face or not / young or old person☆16Aug 4, 2020Updated 6 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Jan 15, 2021Updated 5 years ago
- Notebooks for the HE introduction☆10Sep 11, 2020Updated 6 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆63Jun 16, 2020Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆20Apr 10, 2019Updated 7 years ago
- ☆31Mar 17, 2025Updated last year
- [ICML 2025] The Official implementation of our paper "Clients Collaborate: Flexible Differentially Private Federated Learning with Guaran…☆23Dec 21, 2025Updated 9 months ago
- This repository is a SIMULINK simulation of sliding mode control with classic and optimized methods. See the references for more informat…☆14Jan 5, 2018Updated 8 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆280Dec 5, 2023Updated 2 years ago
- Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)☆15Apr 18, 2022Updated 4 years ago
- MIT 6.857 Group Project☆10May 30, 2019Updated 7 years ago