We consider a parametric family of quadratically constrained quadratic programs and their associated semidefinite programming (SDP) relaxations. Given nominal value the parameter at which SDP relaxation is exact, we study conditions (and quantitative bounds) under will continue to be exact as moves in neighborhood around value. Our framework captures wide array statistical estimation problems i...