A survey on bilevel optimization under uncertainty

•A summary of recent works on bilevel optimization under uncertainty is given.•Data uncertainties in both levels are modeled using stochastic/robust techniques.•In bilevel optimization, the players’ decisions can also be subject to uncertainty.•We address limited observability, near-optimal lower-level decisions, and more.•We review applications in energy, management sciences, interdiction and security.