Why Adversarial Machine Learning Is the Next Big Threat to National Security


An example of ML, specifically supervised ML, is the DoD's use of a computer vision algorithm to identify people and objects of interest in surveillance footage. The computer is fed a labeled or tagged dataset, e.g., images of high-profile individuals or armored security vehicles that contain notations of certain physical characteristics. The goal is for the computer's machine learning algorithm to learn these patterns, establish profiles, and be able to accurately identify these individuals or objects once it begins sifting through the footage.

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