Differentially Private Diffusion Models
☆106Dec 26, 2023Updated 2 years ago
Alternatives and similar repositories for DPDM
Users that are interested in DPDM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The code of "dp-promise: Differentially Private Diffusion Probabilistic Models for Image Synthesis"☆23Apr 5, 2024Updated 2 years ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆29Nov 1, 2019Updated 6 years ago
- The first differentially-private diffusion model for tabular data☆35Jun 5, 2024Updated 2 years ago
- Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)☆70Sep 26, 2022Updated 3 years ago
- ☆12Jun 17, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆15Jun 5, 2023Updated 3 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆179Updated this week
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Oct 26, 2021Updated 4 years ago
- A toolbox for differentially private data generation☆131Jul 6, 2023Updated 2 years ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆146Jan 22, 2026Updated 5 months ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Aug 29, 2022Updated 3 years ago
- ☆16Mar 30, 2023Updated 3 years ago
- ☆11Aug 14, 2024Updated last year
- Private Evolution: Generating DP Synthetic Data without Model Training [ICML 2026, ICLR 2024, ICML 2024 Spotlight]☆113Updated 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.
- HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation [ACL 2023]☆14Jul 11, 2023Updated 2 years ago
- Replication code for Continuous Diffusion for Mixed-Type Tabular Data [ICLR 2025]☆13Aug 12, 2025Updated 10 months ago
- ☆23Dec 15, 2022Updated 3 years ago
- ☆17Sep 9, 2020Updated 5 years ago
- Training PyTorch models with differential privacy☆1,936Jun 14, 2026Updated 2 weeks ago
- Differentially Private Conditional Generative Adversarial Network☆31Oct 12, 2021Updated 4 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 4 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
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆37Jun 10, 2026Updated 3 weeks 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.
- This repo implements several algorithms for learning with differential privacy.☆110Dec 15, 2022Updated 3 years ago
- ☆11Mar 19, 2024Updated 2 years ago
- [NeurIPS 2023] Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm☆15Nov 23, 2023Updated 2 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆19Oct 12, 2021Updated 4 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Oct 7, 2018Updated 7 years ago
- ☆13Jun 7, 2026Updated 3 weeks ago
- Distilling Model Failures as Directions in Latent Space☆48Feb 8, 2023Updated 3 years ago
- [IEEE TMI 2024] PASS: Prompt tuning for both styles and semantic shapes☆20Feb 12, 2025Updated last year
- DataLoader for TinyImageNet Dataset☆12Sep 15, 2021Updated 4 years 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.
- autodp: A flexible and easy-to-use package for differential privacy☆279Dec 5, 2023Updated 2 years ago
- Implementation of the paper: "FedTabDiff: Federated Learning of Diffusion Models for Synthetic Mixed-Type Tabular Data Generation"☆23Nov 10, 2024Updated last year
- Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""☆198Jul 15, 2024Updated last year
- TabLeak: Tabular Data Leakage in Federated Learning☆17Jul 4, 2024Updated 2 years ago
- Inference on non-linear dynamical systems written in JAX☆11Aug 20, 2020Updated 5 years ago
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆47May 30, 2024Updated 2 years ago
- ☆11Feb 10, 2023Updated 3 years ago