5 papers
Variational Feature Compression for Model-Specific Representations
Zinan Guo, Zihan Wang, Chuan Yan +3
As deep learning inference is increasingly deployed in shared and cloud-based settings, a growing concern is input repurposing, in which data submitted for one task is reused by un…
A Multi-Store Privacy Measurement of Virtual Reality App Ecosystem
Chuan Yan, Zeng Li, Kunlin Cai +4
Virtual Reality (VR) has gained increasing traction among various domains in recent years, with major companies such as Meta, Pico, and Microsoft launching their application stores…
Beyond the Scope: Security Testing of Permission Management in Team Workspace
Liuhuo Wan, Chuan Yan, Mark Huasong Meng +4
Nowadays team workspaces are widely adopted for multi-user collaboration and digital resource management. To further broaden real-world applications, mainstream team workspaces pla…
Tracking GPTs Third Party Service: Automation, Analysis, and Insights
Chuan Yan, Liuhuo Wan, Bowei Guan +3
ChatGPT has quickly advanced from simple natural language processing to tackling more sophisticated and specialized tasks. Drawing inspiration from the success of mobile app ecosys…
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…