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
- Source code of paper "Differentially Private Generative Adversarial Network"☆73Nov 29, 2018Updated 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
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Mar 1, 2018Updated 8 years ago
- Quantitative Information Flow library for python and C++.☆17Sep 4, 2025Updated last year
- This repository is the code implementing some classic algorithms in co-location pattern minning.☆13May 9, 2014Updated 12 years ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Oct 26, 2021Updated 4 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
- Attributed graph datasets with ground truth clusters☆12Aug 9, 2022Updated 4 years ago
- Wasserstein DCGAN in Tensorflow/Keras☆94Mar 2, 2017Updated 9 years ago
- ☆12Jan 5, 2023Updated 3 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
- 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.
- Differentially Private Conditional Generative Adversarial Network☆30Oct 12, 2021Updated 4 years ago
- Statistical Counterexample Detector for Differential Privacy☆28Apr 4, 2024Updated 2 years ago
- Double Discriminator GAN☆23Jan 24, 2020Updated 6 years ago
- Quantifying Differential Privacy under Temporal Correlations☆12Mar 24, 2026Updated 6 months ago
- ☆13May 16, 2019Updated 7 years ago
- AttriRank - Unsupervised Ranking using Graph Structures and Node Attributes☆22Nov 15, 2017Updated 8 years ago
- ☆12Feb 26, 2020Updated 6 years ago
- fabric blockchain with medical data using privacy preserving technology☆11Dec 10, 2020Updated 5 years ago
- ☆16Dec 11, 2022Updated 3 years 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.
- Library for training machine learning models with privacy for training data☆2,036Aug 26, 2026Updated last month
- Code accompanying the NeurIPS 2019 paper AutoAssist: A Framework to Accelerate Training of Deep Neural Networks.☆14Oct 3, 2022Updated 3 years ago
- ☆10Oct 18, 2021Updated 4 years ago
- Open Resources For network embedding☆15Feb 24, 2020Updated 6 years ago
- Modified Logisic Regression for the Positive and Unlabeled Learning Problem☆12Feb 1, 2014Updated 12 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
- Code for NIPS'2017 paper☆51Jul 16, 2020Updated 6 years ago
- DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting☆15Apr 27, 2023Updated 3 years ago
- ✨✨latest advancements of RL in generative ai☆16Aug 18, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis (IoTDI'18)☆19Sep 13, 2021Updated 5 years ago
- Task-Guided Pair Embedding in Heterogeneous Network (CIKM 2019)☆12Aug 19, 2021Updated 5 years 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
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆203Nov 15, 2017Updated 8 years ago
- homebrew epsxe☆14Jul 4, 2017Updated 9 years ago