Obsessing over model version matters less than workflow.
On Tuesday, Dec. 9, attendees gathered in the McFarlin Auditorium for SMU’s final Tate Lecture series of the semester, ...
Abstract: Adversarial examples (AEs) are typical model evasion attacks and security threats in deep neural networks (DNNs). One of the countermeasures is adversarial training (AT), and it trains DNNs ...
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