Delves into the theoretical challenges of Smart City services, including integration, quality, and citizen involvement, with insights from a practitioner.
Explores machine learning security, including model stealing, altering outputs, adversarial conditions, and privacy challenges, emphasizing the importance of addressing biases in machine learning models.
