Feb. 9, 2024, 5:10 a.m. | Sreetama Sarkar Souvik Kundu Peter A. Beerel

cs.CR updates on arXiv.org arxiv.org

The growing concern about data privacy has led to the development of private inference (PI) frameworks in client-server applications which protects both data privacy and model IP. However, the cryptographic primitives required yield significant latency overhead which limits its wide-spread application. At the same time, changing environments demand the PI service to be robust against various naturally occurring and gradient-based perturbations. Despite several works focused on the development of latency-efficient models suitable for PI, the impact of these models on …

application applications changing client cryptographic cs.ai cs.cr cs.lg data data privacy demand development environments frameworks latency led privacy private server service

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