The main complaint against differential privacy is that it's a very restrictive definition. However, at least in theory, it seems to often turn out that if an algorithm releases enough information to violate differential privacy, then it has released almost enough info to blatantly violate any privacy definition.
So the key question for any other privacy notion is to show circumstances where it can be satisfied easily, but DP can't (or DP incurs a much heavier accuracy loss).