A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".
☆62Oct 24, 2022Updated 3 years ago
Alternatives and similar repositories for GGL
Users that are interested in GGL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57May 4, 2023Updated 3 years ago
- ☆36Jan 5, 2022Updated 4 years ago
- Official implementation of "GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning"☆33Feb 28, 2022Updated 4 years ago
- Breaching privacy in federated learning scenarios for vision and text☆324Jan 24, 2026Updated 8 months ago
- Algorithms to recover input data from their gradient signal through a neural network☆323Apr 14, 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. Zero configuration with optimized deployments.
- From Gradient Leakage to Adversarial Attacks in Federated Learning☆15Sep 21, 2021Updated 5 years ago
- ☆16Aug 29, 2023Updated 3 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56May 28, 2019Updated 7 years ago
- [NeurIPS 2019] Deep Leakage From Gradients☆483Apr 17, 2022Updated 4 years ago
- AutoML, Privacy Preserving, Federated Learning☆27Jun 8, 2023Updated 3 years ago
- [CVPRW'22] A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.☆12Jul 7, 2022Updated 4 years ago
- Gradient-Leakage Resilient Federated Learning☆15Jul 25, 2022Updated 4 years ago
- ☆10Jan 31, 2022Updated 4 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆164Mar 4, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆12Dec 26, 2024Updated last year
- Simplified Implementation of FedPAC☆61Nov 30, 2023Updated 2 years ago
- Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)☆430May 30, 2026Updated 3 months ago
- FGLA: Fast Generation-Based Gradient Leakage Attacks against Highly Compressed Gradients☆15Mar 17, 2026Updated 6 months ago
- GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding m…☆204May 7, 2024Updated 2 years ago
- [ICCV-2023] Gradient inversion attack, Federated learning, Generative adversarial network.☆52Sep 17, 2026Updated last week
- Official Pytorch implementation for "Differentially Private Federated Learning on Heterogeneous Data" (AISTATS 2022)☆77Feb 22, 2022Updated 4 years ago
- ☆26Dec 14, 2021Updated 4 years ago
- ☆49Dec 29, 2021Updated 4 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.
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Feb 20, 2023Updated 3 years ago
- Membership inference against Federated learning.☆10May 30, 2021Updated 5 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Jun 9, 2021Updated 5 years ago
- ☆21Jun 1, 2022Updated 4 years ago
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆11Nov 24, 2023Updated 2 years ago
- Plato: A Research Framework for Federated Learning☆400Jun 8, 2026Updated 3 months ago
- ☆12May 27, 2022Updated 4 years ago
- Backdoor detection in Federated learning with similarity measurement☆26Apr 30, 2022Updated 4 years ago
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆13Sep 6, 2023Updated 3 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.
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆75Aug 5, 2021Updated 5 years ago
- Official repository of the paper "Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning".☆12Mar 28, 2022Updated 4 years ago
- ☆36Dec 23, 2025Updated 9 months ago
- Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning [Accepted at ICML 2023]☆15Mar 31, 2024Updated 2 years ago
- Code for "Improving Robustness of Vision Transformers by Reducing Sensitivity to Patch Corruptions"☆14Sep 3, 2023Updated 3 years ago
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆17Dec 1, 2021Updated 4 years ago
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆15Mar 24, 2022Updated 4 years ago