[Re] Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks | Edoardo Debenedetti

[Re] Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks

Abstract

As part of the NeurIPS 2019 Reproducibility Challenge, we chose to attempt to reproduce the attack algorithm proposed in “Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks”. Our reported results are better than the original paper in terms of the median number of queries per attack, but worse in terms of failure rate. A concise assessment of our implementation is also included.

Publication
NeurIPS 2019 Reproducibility Challenge Report Submissions
Edoardo Debenedetti
Edoardo Debenedetti
Computer Science PhD Student

My research interests include Machine Learning and Security.