Shypd.aiThe largest open index of AI toolsGraph-Adversarial-Learning is an Open Source & Models tool that curates resources on adversarial attacks and defenses for graph data. It provides a collection of research papers and tools.
Trending
About
Graph-Adversarial-Learning is a comprehensive, curated collection of resources dedicated to adversarial attacks and defenses on graph data. This GitHub repository serves as a valuable hub for researchers and developers interested in understanding and mitigating vulnerabilities in graph-based machine learning models. It categorizes papers by year, venue, and includes those with associated code, spanning from 2017 to 2023. The collection covers various aspects such as attack techniques, defense strategies, robustness certification, and stability. It also provides a quick look at recently updated papers, making it an essential reference for staying current in the field of graph adversarial learning.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
