scottshufe

Awesome-Graph-Contrastive-Learning

A collection of graph contrastive learning methods.

Property-Inference-Attacks-Literature

Horizontally-Federated-Learning-Demo

A horizontally federated learning demo in book Practicing Federated Learning Chapter 3.

PrivacyPapers

Collection of research papers about privacy (or attacks).

social-network-pattern-recognition-course

社交媒体模式识别课程代码仓库

Credit-analysis-based-on-call-data

dive_into_deep_learning

✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。

HyObscure

The code repository for paper HyObscure.

ICDM23_PAGCL

Inference-Attacks-and-Defenses-for-GNNs

membership-inference-evaluation

Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models

Privacy-Preserving-Social-Network-Embedding

Implementation of Adversarial Privacy Graph Embedding in TensorFlow

PrivacyRaven

Privacy Testing for Deep Learning

scottshufe.github.io

TIPRDC

TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations