Adversarial machine learning (AML) has emerged as a critical area of research and development in the field of artificial intelligence, tasked with safeguarding the integrity and reliability of machine learning models against malicious attacks. As machine learning systems become increasingly prevalent in various domains, adversaries are exploiting vulnerabilities in these models to...
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