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accountable-blockchain-rewriting

This is the implementation of the policy-based chameleon hash function with black-box accountability PCHBA. We use PCHBA to secure blockchain rewriting, such that trapdoor holder may maliciously rewrite the blockchain without being identified.

adversarial-examples-pytorch

Implementation of Papers on Adversarial Examples

adversarial-machine-learning

对抗样本（Adversarial Examples）和投毒攻击（Poisoning Attacks）相关资料

asynchronous-federated-learning

Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)

awesome-data-poisoning-and-backdoor-attacks

A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them

awesome-federated-machine-learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

awesome-fl

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

awesome-privacy-chinese

[WIP]国内隐私合规技术交流

batchcrypt

datapoisoning_fl

Code for Data Poisoning Attacks Against Federated Learning Systems

edtunnel

Use Cloudflare pages and worker serverless to implement VLESS protocol

fease

mame

MAME

poisoning-benchmark

A unified benchmark problem for data poisoning attacks

pore

order-revealed encryption

ppfl

Experiments done in paper 'Privacy-preserving Median Selection and Secure Aggregation in Federated Learning'

ppml-omics

PPML-Omics: a Privacy-Preserving federated Machine Learning method protects patients’ privacy from omic data

remote-user-authentication-framework

We simulate a user authentication from multiple biometircs in Python. To simulate it, we need an attribute based encryption ABE (FAME: Fast Attribute-based Message Encryption, CCS17), and a fuzzy extractor FE (Reusable fuzzy extractors for low-entropy distributions, EUROCRYPT16).

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