Privatar uses horizontal frequency partitioning and distribution-aware minimal perturbation to enable private offloading of VR avatar reconstruction, supporting 2.37x more users with modest overhead.
Roback, and James Dray
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CR 2years
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Real-world PIM on UPMEM accelerates cryptographic algorithms when computation is distributed across multiple DRAM ranks, outperforming CPUs at full scale.
citing papers explorer
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Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading
Privatar uses horizontal frequency partitioning and distribution-aware minimal perturbation to enable private offloading of VR avatar reconstruction, supporting 2.37x more users with modest overhead.
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Taking Cryptography Out of the Data Path via Near-Memory Processing in DRAM
Real-world PIM on UPMEM accelerates cryptographic algorithms when computation is distributed across multiple DRAM ranks, outperforming CPUs at full scale.