Algorithms to recover input data from their gradient signal through a neural network
☆323Apr 14, 2023Updated 3 years ago
Alternatives and similar repositories for invertinggradients
Users that are interested in invertinggradients are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Breaching privacy in federated learning scenarios for vision and text☆323Jan 24, 2026Updated 6 months ago
- [NeurIPS 2019] Deep Leakage From Gradients☆484Apr 17, 2022Updated 4 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆166Mar 4, 2021Updated 5 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Feb 20, 2023Updated 3 years ago
- GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding m…☆205May 7, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57May 4, 2023Updated 3 years ago
- ☆26Dec 14, 2021Updated 4 years ago
- ☆36Jan 5, 2022Updated 4 years ago
- ☆50Dec 29, 2021Updated 4 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆62Oct 24, 2022Updated 3 years ago
- Gradient-Leakage Resilient Federated Learning☆15Jul 25, 2022Updated 3 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56May 28, 2019Updated 7 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆208Jun 13, 2021Updated 5 years ago
- Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)☆430May 30, 2026Updated last month
- 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.
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆316Jul 25, 2024Updated last year
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆63Feb 2, 2023Updated 3 years ago
- ☆15Jan 16, 2024Updated 2 years ago
- An awesome list of papers on privacy attacks against machine learning☆640Mar 18, 2024Updated 2 years ago
- Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)☆525Jan 25, 2023Updated 3 years ago
- [ICCV-2023] Gradient inversion attack, Federated learning, Generative adversarial network.☆52Jul 13, 2024Updated 2 years ago
- AutoML, Privacy Preserving, Federated Learning☆27Jun 8, 2023Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆153Oct 3, 2022Updated 3 years ago
- Official implementation of "GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning"☆33Feb 28, 2022Updated 4 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.
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆60Mar 13, 2023Updated 3 years ago
- Code repo for the UAI 2023 paper "Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning".☆17Jun 15, 2024Updated 2 years ago
- ☆38Apr 9, 2021Updated 5 years ago
- Implementation of dp-based federated learning framework using PyTorch☆322Jan 3, 2026Updated 6 months ago
- Code for Double Blind CollaborativeLearning (DBCL)☆14May 14, 2021Updated 5 years ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Oct 13, 2023Updated 2 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆46Jun 12, 2023Updated 3 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆208Aug 5, 2021Updated 4 years ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆384Feb 5, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond☆2,085May 30, 2024Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆153Aug 6, 2022Updated 3 years ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆16Jan 18, 2023Updated 3 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆721Apr 26, 2025Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆166Jun 3, 2021Updated 5 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆87Jun 27, 2023Updated 3 years ago
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆117Aug 19, 2024Updated last year