Princeton-SysML / GradAttack
GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding mitigation strategies.
☆185Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for GradAttack
- Ruby wrapper for Bloodbath☆37Updated 2 years ago
- ☆47Updated 3 years ago
- Please note that this is a summary of what I learned on my university lecture time. I'm not an ABAP Expert so there can be an error or la…☆2Updated 2 years ago
- GoPhish Ruby API☆1Updated 2 years ago
- Fully working, Undetected AK-47 Macro for Rust. (Only supports Logitech and Razer Devices )☆42Updated 9 months ago
- Breaching privacy in federated learning scenarios for vision and text☆270Updated 7 months ago
- Algorithms to recover input data from their gradient signal through a neural network☆274Updated last year
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆145Updated 3 years ago
- Electrum-GRS Groestlcoin Wallet☆44Updated this week
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆102Updated last year
- Code and data accompanying the FedGen paper☆239Updated 3 weeks ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆42Updated last year
- Code for Data Poisoning Attacks Against Federated Learning Systems☆169Updated 3 years ago
- ☆53Updated last year
- This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer☆100Updated 3 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆30Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆81Updated 4 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆146Updated 2 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆57Updated 2 years ago
- ☆155Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆78Updated last year
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆177Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆149Updated 3 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 2 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆64Updated last year
- Robust aggregation for federated learning with the RFA algorithm.☆45Updated 2 years ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆81Updated 9 months ago