no code implementations • 16 Jun 2023 • Edward Raff, Michel Benaroch, Andrew L. Farris
In this survey we review the current literature on attacks and their real-world occurrences, or limited evidence thereof, to critically evaluate the real-world risks of adversarial machine learning (AML) for the average entity.
no code implementations • 9 Apr 2022 • Edward Raff, Andrew L. Farris
Our argument is that this focus on code for replication is misguided if we want to improve the state of reproducible research.