🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Python code for implementing a Vickrey-Clarke-Groves auction

Playground for testing Horizontal Federated Machine Learning systems using the Shapley Value for profit allocation

Profit Allocation for Federated Learning

一分钟私有部署zerotier-planet服务

⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning

Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"

Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"

PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.

This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.

Perception Poisoning Attacks in Federated Learning

The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients"

Code for the IEEE S&P 2018 paper 'Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning'

Implementation of the estimator for combining noisy observations from Dawid and Skene (1979)

Python Implementation of Dawid and Skene's EM Algorithm.

Code for the algorithms in the paper: Vaibhav B Sinha, Sukrut Rao, Vineeth N Balasubramanian. Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification. KDD WISDOM 2018

Truth Discovery in DBG@SUSTech

TruthFinder finds true facts from a large amount of conflicting information

How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)

For my truth discovery study

[Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping

A unified benchmark problem for data poisoning attacks

Evaluate truth inference methods in crowdsourcing under data poisoning attack

Code for Data Poisoning Attacks Against Federated Learning Systems

An open-source academic paper management tool.

AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning