Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy
☆18Oct 9, 2024Updated last year
Alternatives and similar repositories for Opacus-lab
Users that are interested in Opacus-lab are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Apr 19, 2016Updated 9 years ago
- FedCD: Improving Performance in non-IID Federated Learning☆14Dec 2, 2020Updated 5 years ago
- ☆12Sep 17, 2019Updated 6 years ago
- ☆10Oct 18, 2021Updated 4 years ago
- Scripts relating to decryption failures in PQCRYPTO schemes☆11Feb 22, 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.
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 3 years ago
- Lint for privacy☆28Sep 5, 2022Updated 3 years ago
- ☆14Aug 10, 2025Updated 7 months ago
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆268Aug 26, 2024Updated last year
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Apr 16, 2021Updated 4 years ago
- Continuously monitor your connection/ISP's latency & speed and view them in interactive charts☆22Jan 4, 2018Updated 8 years ago
- Manipulation Architecture for Goal Planning, Inference, and Execution☆11Dec 16, 2025Updated 3 months ago
- The pytorch implementation of the SAFE model presented in NAACL-Findings-2022☆17Mar 10, 2023Updated 3 years ago
- LLM code editor for backend services☆16Oct 19, 2024Updated last year
- 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.
- Benchmarking MIAs against LLMs.☆28Oct 8, 2024Updated last year
- A implementation of Privacy Buckets: A numerical tool to calculate privacy loss☆11May 19, 2022Updated 3 years ago
- This repository contains all public data, python scripts, and documentation relating to NIST Public Safety Communications Research Divisi…☆12Nov 22, 2022Updated 3 years ago
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆10Jun 18, 2019Updated 6 years ago
- ☆23Dec 15, 2022Updated 3 years ago
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆16Mar 21, 2023Updated 3 years ago
- Robust Differentially Private Training of Deep Neural Networks☆12Dec 10, 2020Updated 5 years ago
- Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient☆21Nov 13, 2024Updated last year
- PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".☆12Mar 13, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Exploring techniques to generate diverse conventions in multi-agent settings☆15Nov 14, 2023Updated 2 years ago
- ☆19Jun 15, 2022Updated 3 years ago
- Simple python scripts which identify papers authored by PC members in various conferences. Conference info pulled from DBLP.☆19Jun 9, 2020Updated 5 years ago
- An environment for table-carrying, a joint-action cooperative task.☆10Jan 8, 2024Updated 2 years ago
- [NeurIPS 2020] Simple and practical private mean and covariance estimation.☆35Oct 4, 2020Updated 5 years ago
- ☆34Jul 9, 2020Updated 5 years ago
- LLMs in a tiny box, under 3 Watt☆18Dec 30, 2024Updated last year
- Code for fast dpsgd implementations in JAX/TF☆59Oct 12, 2022Updated 3 years ago
- ☆17Oct 11, 2021Updated 4 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.
- ☆14Feb 19, 2025Updated last year
- Official TensorFlow implementation of GAN-based priors for quantifying uncertainty.☆13Nov 13, 2021Updated 4 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆411Updated this week
- ☆54Mar 16, 2021Updated 5 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Jun 24, 2019Updated 6 years ago
- [AIR-DISCOVER Summer Research] Multi-class Anomaly Detection Transformer with Heterogenous Knowledge Distillation☆14Nov 11, 2024Updated last year
- The first differentially-private diffusion model for tabular data☆33Jun 5, 2024Updated last year