ParDef defends DNNs against sparse, continuous, and structured parameter attacks via keyed reparameterization, error-correcting quantization, and robust inference, with evaluations on CIFAR and Tiny-ImageNet showing reduced attack success and maintained accuracy.
Ibd-psc: Input-level backdoor detection via parameter-oriented scaling consis- tency,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks
ParDef defends DNNs against sparse, continuous, and structured parameter attacks via keyed reparameterization, error-correcting quantization, and robust inference, with evaluations on CIFAR and Tiny-ImageNet showing reduced attack success and maintained accuracy.