arxiv
PublishedJune 1, 2026 at 4:00 AM
SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense
Publisher summary· verbatim
arXiv:2506.08255v4 Announce Type: replace-cross Abstract: 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 hypern
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning19harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning19harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models19harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents19hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗