Lectures related to Differential Privacy: Understanding the Bias and Correction

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Explores the definitions, value, and challenges of privacy, including personal data and privacy properties like pseudonymity and k-anonymity.

Machine Learning Security

Explores machine learning security, including model stealing, altering outputs, adversarial conditions, and privacy challenges, emphasizing the importance of addressing biases in machine learning models.