SHIELD uses a hypernetwork with IBP training and a new Interval MixUp technique to achieve certified robustness in continual learning, reporting state-of-the-art adversarial accuracy on MNIST, CIFAR-100, and miniImageNet splits.
Obfus- cated gradients give a false sense of security: Circumventing defenses to adversarial examples
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense
SHIELD uses a hypernetwork with IBP training and a new Interval MixUp technique to achieve certified robustness in continual learning, reporting state-of-the-art adversarial accuracy on MNIST, CIFAR-100, and miniImageNet splits.