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aerochain

a blockchain demo using pbft

blockchain_reputation_system

Endorsement Model based on Blockchain technology to measure trust score of participants

bls_signature_aggregation

Java Boneh, Lynn, and Shacham (BLS) Signature Aggregation. Implementation of "Aggregate and Verifiably Encrypted Signatures from Bilinear Maps" by Dan Boneh, Ben Lynn, Craig Gentry and Hovav Shacham. https://crypto.stanford.edu/~dabo/pubs/papers/aggreg.pdf

cryptographyrepository

密码学仓库，记录本人在实验室coding时用到的一些第三方库或自己写的utils

database-management-system

database-management-system

datagrabber

deep-learning-for-human-activity-recognition

Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).

javapdf

🍣100本 Java电子书 技术书籍PDF(以下载阅读为荣，以点赞收藏为耻)

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

lwe-frodo

Post-quantum key exchange from the learning with errors problem — from the paper "Frodo: Take off the ring! Practical, Quantum-Secure Key Exchange from LWE", published in ACM CCS 2016, https://eprint.iacr.org/2016/659

paillier-lwe-based-phe

Privacy-Preserving Deep Learning via Additively Homomorphic Encryption

pbft

pbft算法基于Socket的java实现

prototype

coopedge

ring-lwe-encryption

telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

tranad

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

trust-sim

🎛 📊 Multi-agent Simulation Platform for Evaluating Trust and Reputation Models.

trustfed

This repository presents a blockchain-based framework, TrustFed, for Cross-Device Federated Learning systems to detect the model poisoning attacks, enable fair training settings, and maintain the participating devices' reputation. TrustFed provides fairness by detecting and removing the attackers from the training distributions. I