Krishnaram Kenthapadi

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