Adversarial Phase Retrieval via Nonlinear Least Absolute Deviation

Gao Huang, Song Li, Hang Xu

We investigate the phase retrieval problem perturbed by dense bounded noise and sparse outliers that can change an adversarially chosen $s$-fraction of the measurement vector. The…