Stochastic Differentially Private and Fair Learning

Understand

Machine learning models are increasingly used in high-stakes decision-making systems.

• In such applications, a major concern is that these models sometimes discriminate against certain demographic groups such as individuals with certain race, gender, or age.
• Another major concern in these applications is the violation of the privacy of users.
• While fair learning algorithms have been developed to mitigate discrimination issues, these algorithms can still leak sensitive information, such as individuals' health or financial records.