Navigating the Challenges of Selective Classification Below Differential Privateness: An Empirical Examine
In machine studying, differential privateness (DP) and selective classification (SC) are important for safeguarding delicate knowledge. DP provides noise to protect particular person privateness whereas sustaining knowledge utility, whereas SC improves reliability by permitting fashions to abstain from predictions when unsure. This intersection is important in making certain mannequin accuracy and reliability in privacy-sensitive functions…