Robustanddifferentiallyprivatemeanestimation

Each participating individual should be able tocontribute without the fearofleaking one'ssensitiveinformation. At the same time, thesystem should berobustinthepresence ofmalicious participants inserting corrupted data. Recent algorithmic advances in learning from shared data focus on either one of these threats, leaving the system vulnerable to the other.