Deep neural networks are revolutionizing technology but their opacity creates critical security vulnerabilities that researchers are only beginning to understand. New attack vectors like adversarial reprogramming and weight poisoning threaten AI systems at their core, demanding fundamental shifts in how we build trustworthy models.