thrombus
发表于 2025-4-1 05:47:43
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PLIC
发表于 2025-4-1 07:10:19
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Sinus-Rhythm
发表于 2025-4-1 11:27:07
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conservative
发表于 2025-4-1 17:30:06
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使闭塞
发表于 2025-4-1 22:33:10
Advances in Cryptology – ASIACRYPT 2023 than classification architectures and require roughly twice as many network parameters. This large number of network layers may result in vanishing gradient or redundant computation, increased computational complexity and more memory consumption. Therefore, it is essential to develop an efficient d
Additive
发表于 2025-4-2 00:35:00
Exact Security Analysis of ASCON an embedder network (to hide a message inside the container) and an extractor network(to extract the hidden message from the encoded image). In the proposed method, we employ the generative power of a variational autoencoder with adversarial training to embed images. At the extractor, a vanilla con
仔细检查
发表于 2025-4-2 04:26:56
https://doi.org/10.1007/978-3-662-53018-4xplore the application of data hiding to analyse the model’s performance. Share-GAN consists of an embedder network (to encode secret messages into a cover), a U-Net autoencoder (that consists of encoder and decoder). The embedder’s encoder network is custom trained to act as an extractor network (t