☆17Mar 30, 2023Updated 2 years ago
Alternatives and similar repositories for DP-MERF
Users that are interested in DP-MERF are comparing it to the libraries listed below
Sorting:
- Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)☆70Sep 26, 2022Updated 3 years ago
- ☆14Dec 23, 2020Updated 5 years ago
- Differentially Private (tabular) Generative Models Papers with Code☆55Jul 2, 2024Updated last year
- ☆12Jun 17, 2022Updated 3 years ago
- ☆10Jun 1, 2022Updated 3 years ago
- Code for Auditing DPSGD☆37Feb 15, 2022Updated 4 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Oct 7, 2018Updated 7 years ago
- Implementations of differentially private release mechanisms for graph statistics☆24May 6, 2022Updated 3 years ago
- ☆24Apr 29, 2022Updated 3 years ago
- ☆27Dec 15, 2022Updated 3 years ago
- Differentially Private Conditional Generative Adversarial Network☆31Oct 12, 2021Updated 4 years ago
- Software for evaluating the quality of synthetic data compared with real data.☆34Feb 13, 2026Updated 2 weeks ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆71Nov 29, 2018Updated 7 years ago
- Manipulation Architecture for Goal Planning, Inference, and Execution☆10Dec 16, 2025Updated 2 months ago
- ☆14Aug 10, 2025Updated 6 months 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
- Official implementation of Spectro-Riemannian Graph Neural Networks (ICLR 2025)☆17May 30, 2025Updated 9 months ago
- ☆12Feb 15, 2025Updated last year
- An environment for table-carrying, a joint-action cooperative task.☆10Jan 8, 2024Updated 2 years ago
- ☆11Jul 20, 2024Updated last year
- Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.☆11Mar 9, 2021Updated 4 years ago
- ☆11May 9, 2022Updated 3 years ago
- Normalized Wasserstein for Mixture Distributions☆11Mar 24, 2023Updated 2 years ago
- The implementation for the paper "On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm".☆12Apr 11, 2020Updated 5 years ago
- Deep reinforcement learning + double oracle framework for Robust Restless Bandits☆10Jul 4, 2021Updated 4 years ago
- Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering☆13Aug 22, 2023Updated 2 years ago
- Official repository of "Minibatch optimal transport distances; analysis and applications" (https://arxiv.org/pdf/2101.01792.pdf)☆10Oct 15, 2021Updated 4 years ago
- Robust Differentially Private Training of Deep Neural Networks☆12Dec 10, 2020Updated 5 years ago
- 基于 OneBot v11 标准的 Telegram机器人Java实现☆12Updated this week
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆111Feb 18, 2026Updated last week
- Differentially Private Diffusion Models☆105Dec 26, 2023Updated 2 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Nov 25, 2019Updated 6 years ago
- 基于Karin编写的提供方便操作Bot相关的功能性插件包括但不限于群管☆16Feb 4, 2026Updated 3 weeks ago
- [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…☆11Apr 20, 2023Updated 2 years ago
- Official code for FAccT'21 paper "Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning" https://arxiv.org/abs…☆13Mar 9, 2021Updated 4 years ago
- HSML Dynamic version for ICML 2019☆12Jul 11, 2019Updated 6 years ago
- SCOTT: Synthesizing Curvature Operations and Topological Tools☆17Oct 22, 2025Updated 4 months ago
- ☆18Nov 24, 2023Updated 2 years ago
- Jobs, internships, and work opportunities towards improving people's lives 🖖☆13Jan 31, 2020Updated 6 years ago