AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work presents the first masked version of CSIDH and, in fact, any isogeny-based scheme and develops gadgets to efficiently mask all arithmetics in the underlying finite field and proves them secure in the d -probing model.
This work introduces the first verification framework that jointly analyzes a pseudorandom number generator— specifically, but not limited to, a linear feedback shift register—and a masking scheme, in the d-probing model, in the d-probing model.
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