cwb990 Goto Github PK

adversarial-recommender-systems-survey

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dim

ant-learn-recsys

推荐系统从入门到实战

auto-attack

chenwenbin10

chenwenbinzuoye

chenwenbin10.github.io

chenwenbinzuoye

cppguide

「C/C++学习+面试指南」一份涵盖大部分 C++ 程序员所需要掌握的知识。入门、进阶、深入、校招、社招，准备 C++ 学习& 面试，首选 CppGuide！

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cw-pytorch

A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"

recommender-system-fairness-and-robustness

Collection of the SOTA fairness and robustness research articles in recommender systems

rs_posion_attacks

rspapers

A Curated List of Must-read Papers on Recommender System.

springboot-guide

Not only Spring Boot but also important knowledge of Spring（不只是SpringBoot还有Spring重要知识点）

the-idiosyncratic-effects-of-adversarial-training

Code and Data for the #RecSys2021 article "The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning".