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Found 3 papers, 1 papers with code
Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers with Bridge Block Reconstruction for IoT Systems
For mobile devices, achieving optimal acceleration for ViTs necessitates the strategic integration of quantization techniques and efficient hybrid transformer structures.
On the Performance of Generative Adversarial Network (GAN) Variants: A Clinical Data Study
Generative Adversarial Network (GAN) is a useful type of Neural Networks in various types of applications including generative models and feature extraction.
Examining Adversarial Learning against Graph-based IoT Malware Detection Systems
The main goal of this study is to investigate the robustness of graph-based Deep Learning (DL) models used for Internet of Things (IoT) malware classification against Adversarial Learning (AL).
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