  We derive two upper bounds for the probability of deviation of a
vector-valued Lipschitz function of a collection of random variables from its
expected value. The resulting upper bounds can be tighter than bounds obtained
by a direct application of a classical theorem due to Bobkov and G\"{o}tze.
