Code for the paper "Bayesian Differential Privacy for Machine Learning"
☆23Aug 12, 2020Updated 5 years ago
Alternatives and similar repositories for bayesian-differential-privacy
Users that are interested in bayesian-differential-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:
- Code for computing tight guarantees for differential privacy☆23Mar 3, 2023Updated 3 years ago
- Quantifying Differential Privacy under Temporal Correlations☆12Mar 24, 2026Updated 2 months ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Apr 16, 2021Updated 5 years ago
- A implementation of Privacy Buckets: A numerical tool to calculate privacy loss☆11May 19, 2022Updated 4 years ago
- DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.☆23Sep 27, 2021Updated 4 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.
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 6 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Feb 4, 2022Updated 4 years ago
- ☆16Dec 11, 2023Updated 2 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆27Oct 15, 2020Updated 5 years ago
- A concise primer on Differential Privacy☆29Jun 24, 2020Updated 5 years ago
- A Differentially-Private Random Decision Forest using Smooth Sensitivity☆11Oct 26, 2016Updated 9 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Apr 16, 2021Updated 5 years ago
- We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)☆20May 26, 2025Updated last year
- Experiments on AMSGrad -- pytorch version☆12May 30, 2018Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Jul 25, 2024Updated last year
- Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"☆12Feb 20, 2023Updated 3 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Oct 7, 2018Updated 7 years ago
- An Android app for the paranoids capable of remote SMS based device locking/wiping, faking the GPS and disabling the device cameras.☆11Dec 25, 2020Updated 5 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Feb 8, 2021Updated 5 years ago
- 百度商业AI技术创新大赛赛道二：广告图片描述生成 Rank3方案分享☆11Oct 9, 2024Updated last year
- Code for NIPS'2017 paper☆51Jul 16, 2020Updated 5 years ago
- Binary Ninja script to decrypt strings in Mirai samples☆21Jun 30, 2021Updated 4 years ago
- ☆18Oct 6, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Python package to create a report for mobility data with differential privacy guarantees.☆15Sep 18, 2024Updated last year
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆76Feb 9, 2025Updated last year
- Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. NeurIPS Robust AI in Financial Services 2019.☆36Aug 25, 2020Updated 5 years ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆18Mar 3, 2024Updated 2 years ago
- Repository for Federated Learning with Differential Privacy☆11May 28, 2022Updated 4 years ago
- Distributed SDDMM Kernel☆12Jul 8, 2022Updated 3 years ago
- Fun project to run your own LLM chat bot using llama.cpp☆11Jun 9, 2023Updated 2 years ago
- Naive implementation of basic Differential-Privacy framework and algorithms☆49Aug 30, 2022Updated 3 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Oct 11, 2024Updated last year
- 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.
- Amun is a framework that achieves privacy-preserving process mining using differential privacy.☆12Jan 16, 2023Updated 3 years ago
- All exercises from private AI Facebook Scholarship☆13Jul 21, 2019Updated 6 years ago
- Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference…☆130May 1, 2023Updated 3 years ago
- ☆15May 10, 2019Updated 7 years ago
- Location Privacy Preservation of Vehicle Data in Internet of Vehicles☆10May 11, 2022Updated 4 years ago
- Improved DP-SGD for optimizing☆20Mar 23, 2019Updated 7 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆64Jun 16, 2020Updated 5 years ago