The article discusses a method of training neural networks to generate a variety of discrete representations, controlled by the complexity of the representations. This method is inspired by the human…
Continue readingThe study focuses on Gröbner basis attacks on cryptographic polynomial systems, particularly iterated polynomial systems, which are standard models for symmetric ciphers and hash functions. The author extends an established…
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