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• Trojans: In the context of Data Science and Artificial Intelligence, Trojans refer to malicious code or software that is intentionally inserted into a machine learning model or dataset with the aim of causing harm or exploiting vulnerabilities. Thes ... Read More >>
• Data Validation: Data validation is the process of ensuring that data is accurate, complete, and consistent. It involves checking data for errors, inconsistencies, and anomalies to ensure that it meets the quality standards required for analysis and decisio ... Read More >>
• Adversarial Examples: Adversarial examples are inputs to machine learning models that are intentionally designed to cause the model to make a mistake. These inputs are created by adding small, often imperceptible, perturbations to the original input data. Advers ... Read More >>