Genre
GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference Ziang Li1, Mengda Y ang
To overcome these challenges, we propose a G AN-based LA tent S pace S earch attack ( GLASS) that harnesses abundant prior knowledge from public data using advanced StyleGAN technologies. Additionally, we introduce GLASS++ to enhance reconstruction stability.
Sparse Deep Learning for Time Series Data: Theory and Applications
Specifically, we lay the foundation within the Bayesian framework.
MambaTree: TreeTopology isAllYouNeedinStateSpaceModel
However, constrained by the inherent geometric constraints of sequences, it still falls short in modeling long-range dependencies.
