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Imam Abdulrahman Bin Faisal University
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The Extra Trees model achieved an impressive 96.92% accuracy in detecting cirrhosis, highlighting the untapped potential of machine learning in liver disease diagnostics.
A unified framework reveals critical weaknesses in LLM adversarial defenses and sets a bold agenda for future research across modalities.
Exploitative adversarial prompts can boost attack success rates in LLMs by nearly 8%, revealing critical vulnerabilities in model reliability.
MARBERT achieves superior sentiment detection accuracy on Arabic tweets, revealing critical insights into customer satisfaction for STC.
