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 3 years ago
- Gradient-Leakage Resilient Federated Learning☆14Jul 25, 2022Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆153Oct 3, 2022Updated 3 years ago
- [NeurIPS 2019] Deep Leakage From Gradients☆484Apr 17, 2022Updated 4 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.
- Official implementation of "GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning"☆33Feb 28, 2022Updated 4 years ago
- Experimental pipeline for FedFace.☆10Jul 6, 2021Updated 4 years ago
- ☆19Dec 7, 2020Updated 5 years ago
- ☆31Apr 8, 2020Updated 6 years ago
- ☆12Sep 12, 2021Updated 4 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57May 4, 2023Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆75Aug 5, 2021Updated 4 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆206Jun 13, 2021Updated 5 years ago
- A sybil-resilient distributed learning protocol.☆113Sep 9, 2025Updated 9 months 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.
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56May 28, 2019Updated 7 years ago
- Code for Double Blind CollaborativeLearning (DBCL)☆14May 14, 2021Updated 5 years ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆382Feb 5, 2023Updated 3 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆87Jun 27, 2023Updated 2 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Aug 22, 2020Updated 5 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Feb 20, 2023Updated 3 years ago
- ☆52Aug 28, 2021Updated 4 years ago
- Breaching privacy in federated learning scenarios for vision and text☆321Jan 24, 2026Updated 4 months ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Nov 11, 2020Updated 5 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.
- Research simulation toolkit for federated learning☆13Nov 7, 2020Updated 5 years ago
- Code for NDSS '25 paper "Passive Inference Attacks on Split Learning via Adversarial Regularization"☆13Sep 16, 2024Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆87Feb 23, 2023Updated 3 years ago
- paper code☆29Oct 5, 2020Updated 5 years ago
- Modular framework for property inference attacks on deep neural networks☆19Jun 8, 2023Updated 3 years ago
- The code for our Updates-Leak paper☆17Jul 23, 2020Updated 5 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Nov 25, 2019Updated 6 years ago
- ☆12Nov 26, 2019Updated 6 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆206Aug 5, 2021Updated 4 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.
- ☆21Oct 25, 2021Updated 4 years ago
- Code for Machine Learning Models that Remember Too Much (in CCS 2017)☆31Oct 15, 2017Updated 8 years ago
- ☆36Jan 5, 2022Updated 4 years ago
- ☆15May 10, 2019Updated 7 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆165Mar 4, 2021Updated 5 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆155Feb 16, 2025Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆161Apr 30, 2022Updated 4 years ago