Network Immunization

Network immunization focuses on protecting networks from the spread of undesirable elements, whether harmful content in social networks, adversarial attacks on graph neural networks, or tampering in digital images. Current research explores various immunization strategies, including community-based algorithms that prioritize node removal based on community structure, and adversarial immunization techniques that strategically fortify network components to enhance robustness. These advancements offer improved efficiency and resilience against attacks, with applications ranging from cybersecurity and misinformation control to image forensics and data integrity.