Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation

1. 1Utilize Chernoff Information to characterize the trade-off between fairness, privacy, and accuracy
2. 2Propose Chernoff Difference to quantify the trade-off
3. 3Apply neural estimation to compute Chernoff Information
4. 4Analyze the data-dependent trade-offs to inform model design

Machine learning engineers and researchers on a team benefit from understanding the trade-offs between fairness, privacy, and accuracy, as it informs the design of trustworthy models

💡 The trade-off between fairness, privacy, and accuracy is data-dependent and can be characterized using Chernoff Information

🤖 Fairness, privacy, and accuracy: can we have it all? Researchers use Chernoff Info to characterize trade-offs 📊