Krishnaram Kenthapadi

fairness-aware machine learning algorithmic bias gdpr machine learning linkedin salary fairness algorithmic decision-making systems differential privacy ccpa linkedin explainability by design explainableai data mining attribution methods privacy-preserving data mining industry case studies model interpretability differential privacy deployed fairness by design privacy privacy-preserving analytics privacy attacks privacy breaches representative ranking for talent search privacy by design sr-11 local differential privacy randomized response google rappor explainable ai salary compensation insights responsible ai amazon sagemaker clarify security private nlp de-identification compensation job seeker robust compensation insights bayesian hierarchical smoothing outlier detection statistical modeling salary modeling architecture deployment challenges and lessons learned privacy-preserving compensation insights privacy-preserving machine learning diversity qconsf