jgshu

jgshu

Geek Repo

Company:Peng Cheng Lab

Location:Shenzhen

Home Page:https://jgshu.github.io/

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jgshu's repositories

Federated-Learning-PyTorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

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AdvBox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

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adversarial-robustness-toolbox

Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

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Awesome-Federated-Learning

A collection of research papers categorized into broad topics in federated learning.

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awesome-nas-papers

Awesome Neural Architecture Search Papers

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backdoor-learning-resources

A curated list of backdoor learning resources

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backdoor_federated_learning

Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)

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CLDP

Secure and utility-aware data collection with condensed local differential privacy

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clustered-federated-learning

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

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DBA

DBA: Distributed Backdoor Attacks against Federated Learning

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dlg

[NeurIPS 2019] Deep Leakage From Gradients

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falcon-public

Implementation of protocols in Falcon

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federated-learning-secure-aggregation

A simple Python implementation of a secure aggregation protocole for federated learning.

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FedMA

Code for Federated Learning with Matched Averaging, ICLR 2020.

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FedNAS

FedNAS: Federated Deep Learning via Neural Architecture Search

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galgebra

Symbolic Geometric Algebra/Calculus package for SymPy :crystal_ball:

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ifca

Codebase for An Efficient Framework for Clustered Federated Learning.

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Improved-Deep-Leakage-from-Gradients

The code for "Improved Deep Leakage from Gradients" (iDLG).

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Labs-Federated-Learning

Accenture Labs Federated Learning

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leaf

Leaf: A Benchmark for Federated Settings

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ModelPoisoning

Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470

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multi-center-fed-learning

fully ready experiments

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PySyft

A library for encrypted, privacy preserving machine learning

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secure-aggregation

Secure aggregation for federated learning using enclaves

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textflint

Text Robustness Evaluation Platform

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