In this paper, we propose a cryptanalysis method based on state-of-art deep learning technologies (eg, residual connections and gated linear units) for ...
Jul 7, 2022 · In this paper, we propose a cryptanalysis method based on the-state-of-art deep learning technologies (e.g. residual connections and gated ...
In this paper, we propose a cryptanalysis method based on state-of-art deep learning technologies (e.g., residual connections and gated linear ...
Jul 13, 2020 · This paper proposes a generic cryptanalysis model based on deep learning (DL), where the model tries to find the key of block ciphers from known ...
Dec 9, 2024 · In this paper, we propose a cryptanalysis method based on state-of-art deep learning technologies (eg, residual connections and gated linear units) for ...
This paper proposes a generic cryptanalysis model based on deep learning (DL), where the model tries to find the key of block ciphers from known plaintext- ...
The proposed generic cryptanalysis model based on deep learning (DL), where the model tries to find the key of block ciphers from known plaintext-ciphertext ...
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This paper proposes a generic cryptanalysis model based on deep learning (DL), where the model tries to find the key of block ciphers from known plaintext- ...
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The truly successful attempt at adapting deep learning models to conventional cryptanalysis was proposed by Gohr at CRYPTO 2019 [3]. LBC-IoT revisited. The LBC- ...
In this paper, we perform neural cryptanalysis on five block ciphers: Data Encryption Standard (DES), Simplified DES (SDES), Advanced Encryption Standard (AES) ...