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kazemai0's Projects

adversarial_training icon adversarial_training

Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions" paper.

alphatree-graphic-deep-neural-network icon alphatree-graphic-deep-neural-network

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱

awesome-ctf icon awesome-ctf

A curated list of CTF frameworks, libraries, resources and softwares

awesome-llm-safety icon awesome-llm-safety

A curated list of security-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights into the security implications, challenges, and advancements surrounding these powerful models.

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

transferattack icon transferattack

TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.

when-do-gnns-help icon when-do-gnns-help

Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability"

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