A closer look at gan priors: Exploiting intermediate features for enhanced model inversion attacks
Abstract Model Inversion (MI) attacks aim to reconstruct privacy-sensitive training data from
released models by utilizing output information, raising extensive concerns about the …
released models by utilizing output information, raising extensive concerns about the …
Gi-nas: Boosting gradient inversion attacks through adaptive neural architecture search
Gradient Inversion Attacks invert the transmitted gradients in Federated Learning (FL)
systems to reconstruct the sensitive data of local clients and have raised considerable …
systems to reconstruct the sensitive data of local clients and have raised considerable …
Editable-DeepSC: Reliable Cross-Modal Semantic Communications for Facial Editing
Real-time computer vision (CV) plays a crucial role in various real-world applications, whose
performance is highly dependent on communication networks. Nonetheless, the data …
performance is highly dependent on communication networks. Nonetheless, the data …
Semantic communications: the new paradigm behind beyond 5G technologies
Each generation of cellular networks is characterized by its distinct capabilities and
innovations, which reflect the significant milestones reached with each new release. 5G has …
innovations, which reflect the significant milestones reached with each new release. 5G has …
Retrievals Can Be Detrimental: A Contrastive Backdoor Attack Paradigm on Retrieval-Augmented Diffusion Models
Diffusion models (DMs) have recently demonstrated remarkable generation capability.
However, their training generally requires huge computational resources and large-scale …
However, their training generally requires huge computational resources and large-scale …