Author

Michael Zink

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Aug 2026

Secure Point Cloud Streaming with Learning-Based Super-Resolution

This work designs a system that downsamples point cloud content at the origin server and applies partial encryption, and integrates this pipeline into an adaptive bitrate (ABR) streaming client, which enables the system to dynamically select among multiple resolution levels and apply Super-Resolution (SR) to enhance de...

Mohammad Waquas Usmani, Sankalpa Timilsina, Michael Zink et al. · International Journal of Sem... · 1 citation

#machine learning Open access Dec 2025

Secure AI-Driven Super-Resolution for Real-Time Mixed Reality Applications

This work designs a system that downsamples point cloud content at the origin server and applies partial encryption at the client, and decrypted and upscaled using an ML-based super-resolution model, which effectively reconstructs the original full-resolution point clouds with minimal error and modest inference time.

Mohammad Waquas Usmani, Sankalpa Timilsina, Michael Zink et al. · IEEE International Symposium... · 2 citations

#machine learning Book Open access Sep 2026

Learning-Based Reconstruction Attacks on Coordinate-Obfuscated Point Clouds

It is shown that reconstructing fully encrypted $X$ coordinates remains challenging, whereas the \texttt{2X} scheme leaks sufficient information through neighboring coordinates to enable accurate reconstruction, demonstrating that the security of selective coordinate encryption depends strongly on encryption granularit...

Mohammad Waquas Usmani, Susmit Shannigrahi, Michael Zink · Proceedings of the Second Wo... · 0 citations