The trade-off between machine learning performance and privacy
To prevent privacy violations, all data transmitted to the organization needs to be protected.
Machine learning has pushed the boundaries in several fields, including personalized medicine, self-driving cars, and customized advertisements. Research has shown, however, that these systems memorize aspects of the data they were trained with in order to learn patterns, which raises concerns for privacy.