Yogesh Kumar
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The paper systematically investigates the conditions under which linear layers in AES-like ciphers avoid related-differential structures, proving that the MDS property is necessary and identifying specific matrix classes that inevitably exhibit such vulnerabilities.
The paper proposes RL-ACRGNet, an improved encoder-decoder model that uses reinforcement learning to generate high-quality, clinically coherent chest radiology reports, significantly outperforming existing state-of-the-art methods.
Papers
RL-ACRGNet: Reinforcement Learning-Based Chest Radiology Report Generation Network
The paper proposes RL-ACRGNet, an improved encoder-decoder model that uses reinforcement learning to generate high-quality, clinically coherent chest radiology reports, significantly outperforming exi…