  This paper studies the problem of recovering a structured signal from a
relatively small number of corrupted non-linear measurements. Assuming that
signal and corruption are contained in some structure-promoted set, we suggest
an extended Lasso to disentangle signal and corruption. We also provide
conditions under which this recovery procedure can successfully reconstruct
both signal and corruption.
