scottshufe

Awesome-Graph-Contrastive-Learning

A collection of graph contrastive learning methods.

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。

Horizontally-Federated-Learning-Demo

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

HyObscure

The code repository for paper HyObscure.

ICDM23_PAGCL

Inference-Attacks-and-Defenses-for-GNNs

PrivacyPapers

Collection of research papers about privacy (or attacks).

Property-Inference-Attacks-Literature

social-network-pattern-recognition-course

社交媒体模式识别课程代码仓库

scottshufe/Awesome-Graph-Contrastive-Learning

A collection of graph contrastive learning methods.

scottshufe/Property-Inference-Attacks-Literature

scottshufe/Horizontally-Federated-Learning-Demo

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

scottshufe/PrivacyPapers

Collection of research papers about privacy (or attacks).

scottshufe/social-network-pattern-recognition-course

社交媒体模式识别课程代码仓库

scottshufe/Credit-analysis-based-on-call-data

scottshufe/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。

scottshufe/HyObscure

The code repository for paper HyObscure.

scottshufe/ICDM23_PAGCL

scottshufe/Inference-Attacks-and-Defenses-for-GNNs

scottshufe/membership-inference-evaluation

Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models

scottshufe/Privacy-Preserving-Social-Network-Embedding

Implementation of Adversarial Privacy Graph Embedding in TensorFlow

scottshufe/PrivacyRaven

Privacy Testing for Deep Learning

scottshufe/scottshufe.github.io

scottshufe/TIPRDC

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