The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.
☆63Feb 2, 2023Updated 3 years ago
Alternatives and similar repositories for GAN-Attack-against-Federated-Deep-Learning
Users that are interested in GAN-Attack-against-Federated-Deep-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Adversarial attacks and defenses against federated learning.☆20May 24, 2023Updated 3 years ago
- wx☆11Aug 14, 2022Updated 4 years ago
- Gradient-Leakage Resilient Federated Learning☆15Jul 25, 2022Updated 4 years ago
- ☆52Aug 28, 2021Updated 5 years ago
- [NeurIPS 2019] Deep Leakage From Gradients☆486Apr 17, 2022Updated 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.
- Algorithms to recover input data from their gradient signal through a neural network☆324Apr 14, 2023Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Oct 3, 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
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57May 4, 2023Updated 3 years ago
- This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…☆15Jun 19, 2020Updated 6 years ago
- ☆20Dec 7, 2020Updated 5 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆86Jun 27, 2023Updated 3 years ago
- Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD☆14Feb 2, 2020Updated 6 years ago
- Code for Double Blind CollaborativeLearning (DBCL)☆14May 14, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Aug 22, 2020Updated 6 years ago
- ☆21Oct 25, 2021Updated 5 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56May 28, 2019Updated 7 years ago
- Research simulation toolkit for federated learning☆14Nov 7, 2020Updated 5 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆210Jun 13, 2021Updated 5 years ago
- Single Image Backdoor Inversion via Robust Smoothed Classifiers☆17Jul 18, 2023Updated 3 years ago
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆21Oct 13, 2023Updated 3 years ago
- ☆12Sep 12, 2021Updated 5 years ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Nov 11, 2020Updated 5 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding m…☆206May 7, 2024Updated 2 years ago
- A sybil-resilient distributed learning protocol.☆115Sep 9, 2025Updated last year
- Modular framework for property inference attacks on deep neural networks☆19Jun 8, 2023Updated 3 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆33Apr 22, 2021Updated 5 years ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆386Feb 5, 2023Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆87Feb 23, 2023Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆75Aug 5, 2021Updated 5 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆157Feb 16, 2025Updated last year
- paper code☆29Oct 5, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆12Nov 26, 2019Updated 6 years ago
- Breaching privacy in federated learning scenarios for vision and text☆328Jan 24, 2026Updated 9 months ago
- ☆32Apr 8, 2020Updated 6 years ago
- The code for our Updates-Leak paper☆17Jul 23, 2020Updated 6 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆316Jul 25, 2024Updated 2 years ago
- The official implementatioin code of ICDM 2022 paper: "Privacy-Preserving Split Learning via Patch Shuffling over Transformers"☆12Nov 27, 2023Updated 2 years ago
- Experimental pipeline for FedFace.☆10Jul 6, 2021Updated 5 years ago