Do Gradient Inversion Attacks Make Federated Learning Unsafe?
DRaCoN--Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars
When to Prune? A Policy towards Early Structural Pruning
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion
Adversarial motion modelling helps semi-supervised hand pose estimation
HALP: Hardware-Aware Latency Pruning
Nvit: Vision transformer compression and parameter redistribution
Towards Understanding the Risks of Gradient Inversion in Federated Learning