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datasets of diverse real and generated speech and audio, including content from different generative models and multiple watermarking methods. Adapting and improving detector baselines for multi-objective
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outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high-performance computing infrastructure, and evaluation using objective metrics
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theoretical foundations of distributed quantum computing . Our long-term objective is to understand which distributed tasks admit a quantum advantage, especially in the context of the LOCAL model of distributed
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