SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense

ArXi:2506.08255v4 Announce Type: replace-cross Continual learning under adversarial conditions remains an open problem, as existing methods often compromise either robustness, scalability, or both. We propose a novel framework that integrates Interval Bound Propagation (IBP) with a hypernetwork-based architecture to enable certifiably robust continual learning across sequential tasks.