Intriguing Properties of Adversarial ML Attacks in the Problem Space
Published: May 1, 2020
Abstract
Recent research efforts on adversarial ML have investigated problem-space attacks, focusing on the generation of real evasive objects in domains where, unlike images, there is no clear inverse mapping to the feature space (e.g., software). However, the design, comparison, and real-world implications of problem-space attacks remain underexplored.This paper makes two major contributions. First, we propose a novel formalization for adversarial ML...
Paper Details
Title
Intriguing Properties of Adversarial ML Attacks in the Problem Space
Published Date
May 1, 2020
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