Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

23 Jun 2020Francesco CroceMaksym AndriushchenkoNaman D. SinghNicolas FlammarionMatthias Hein

A large body of research has focused on adversarial attacks which require to modify all input features with small $l_2$- or $l_\infty$-norms. In this paper we instead focus on query-efficient sparse attacks in the black-box setting... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper