Data Science, Machine Learning, Artificial Intelligence, Technology, Cybersecurity.
attack’s output is much less reliable, indicating that differential privacy has successfully obscured the relationship between the training data and the model’s predictions. Conclusion Differential privacy provides a strong privacy guarantee for machine learning models. By introducing noise during