DP-TRAE combines a transferable white-box adversarial initialization with a memory-augmented superpixel query attack and reversible embedding to mislead black-box image classifiers while allowing image recovery.
FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection
DP-TRAE combines a transferable white-box adversarial initialization with a memory-augmented superpixel query attack and reversible embedding to mislead black-box image classifiers while allowing image recovery.