
Machine learning (ML) has revolutionized various industries, enabling automation and insightful decision-making. However, as AI adoption expands, so does the risk of adversarial attacks, such as data poisoning. Data poisoning is a type of adversarial ML attack that maliciously tampers with datasets to mislead or confuse the model. In this article, we will explore the rise of data poisoning in