The article discusses the use of normalizing flows in voice conversion (VC) tasks and introduces a new training paradigm called AutoEncoder Normalizing Flow (AE-Flow). Normalizing flows are unsupervised generative models…
Continue readingThe paper presents an autoencoder model designed to detect malicious DNS-over-HTTPS (DoH) traffic. With the increasing adoption of DoH protocol by major browsers to encrypt DNS traffic and protect user…
Continue readingThe article presents Soft Convex Quantization (SCQ) as a solution to the challenges of Vector Quantization (VQ) in deep learning. VQ is a technique used for extracting discrete latent representations…
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