AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This paper proposes Deep Bio-Hashing Network (DBHN) for privacy-preserving finger vein recognition, achieving end-to-end cancelable recognition and proposes a Deep Bio-Hashing layer to tackle the security problem caused by stolen tokenized random numbers.
Deep learning models for point cloud classification are highly vulnerable to adversarial attacks, while recent advances in diffusion-based purification have shown promising defensive performance. However, existing diffusion-based purification methods harbor two fundamental limitations. First, a distributional gap arise...
FVeinSyn explicitly decouples synthesis of vascular topology and imaging appearance to mitigate the limitations caused by insufficient training samples, such as inadequate identity diversity and restricted realism.
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