activity
20242026
most citedAssessing Privacy Compliance of Android Third-Party SDKs

2 citations · 6 across the 9 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2024

PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks

Mark Huasong Meng, Hao Guan, Liuhuo Wan +3

We present PAODING, a toolkit to debloat pretrained neural network models through the lens of data-free pruning. To preserve the model fidelity, PAODING adopts an iterative process…