A TensorFlow (Python 3) implementation of a differentially-private-GAN.
☆20Feb 21, 2020Updated 6 years ago
Alternatives and similar repositories for dp-gan
Users that are interested in dp-gan are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Differentially private release of semantic rich data☆35Jun 17, 2021Updated 5 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆34Dec 8, 2018Updated 7 years ago
- Privacy-preserving generative deep neural networks support clinical data sharing☆106Apr 20, 2019Updated 7 years ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆29Nov 1, 2019Updated 6 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Apr 16, 2021Updated 5 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.
- Inception score for measuring quality of images generating from GAN☆43Dec 12, 2017Updated 8 years ago
- This repository contains binaries for the multiple teacher approach to learning differential private ML models: https://arxiv.org/abs/161…☆10Nov 16, 2016Updated 9 years ago
- Differentially Private Conditional Generative Adversarial Network☆31Oct 12, 2021Updated 4 years ago
- 小程序拍照,小程序指定区域拍照,手写汉字识别,手写汉字评分☆12May 7, 2018Updated 8 years ago
- 一个 GPT-2 模型。致谢:https://github.com/Morizeyao/GPT2-Chinese☆12Apr 22, 2021Updated 5 years ago
- Statistical Counterexample Detector for Differential Privacy☆28Apr 4, 2024Updated 2 years ago
- ☆13May 16, 2019Updated 7 years ago
- Double Discriminator GAN☆24Jan 24, 2020Updated 6 years ago
- Quantifying Differential Privacy under Temporal Correlations☆12Mar 24, 2026Updated 3 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆12Feb 26, 2020Updated 6 years ago
- Modified Logisic Regression for the Positive and Unlabeled Learning Problem☆12Feb 1, 2014Updated 12 years ago
- ☆10Oct 18, 2021Updated 4 years ago
- DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting☆15Apr 27, 2023Updated 3 years ago
- We define and estimate smooth unique information of samples with respect to classifier weights and predictions. We compute these quantiti…☆11Mar 9, 2021Updated 5 years ago
- ☆10Nov 15, 2015Updated 10 years ago
- Code accompanying the NeurIPS 2019 paper AutoAssist: A Framework to Accelerate Training of Deep Neural Networks.☆14Oct 3, 2022Updated 3 years ago
- Graph-based incremental static analysis of ECMAScript 6 source code repositories☆20Feb 18, 2018Updated 8 years ago
- Code for NIPS'2017 paper☆51Jul 16, 2020Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆16Dec 11, 2022Updated 3 years ago
- A Java library for preprocessing, managing and mining spatial trajectory data☆11Nov 13, 2015Updated 10 years ago
- ☆16Mar 9, 2025Updated last year
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆11Nov 24, 2023Updated 2 years ago
- Pylab-style utilities for PyTorch and Matplotlib, among others.☆16Jan 22, 2026Updated 5 months ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- ☆11Jan 23, 2020Updated 6 years ago
- Gremlin-Python tutorial☆14Nov 15, 2024Updated last year
- This repository contains the source code for "Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble", In Pro…☆11Jan 2, 2026Updated 6 months ago
- 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.
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆201Nov 15, 2017Updated 8 years ago
- Adversarially Robust Generalization Just Requires More Unlabeled Data☆11Aug 8, 2019Updated 6 years ago
- Deploy a Custom Machine Learning engine and Monitor Payload Logging and Fairness using AI OpenScale☆12Sep 17, 2025Updated 9 months ago
- Package to estimate the grouping loss of a classifier, based on the paper "Beyond calibration: estimating the grouping loss of modern neu…☆11Apr 24, 2026Updated 2 months ago
- Gradient-based Hyperparameter Optimization Over Long Horizons☆14Sep 29, 2021Updated 4 years ago
- Visualize the proportion of results for a given PubMed search over time and compare searches to one another!☆16Jun 10, 2026Updated 3 weeks ago
- ☆14May 3, 2022Updated 4 years ago