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Machine Learning in 2022: Data Threats and Backdoors?

Published: February 16, 2022

While research illustrates some sly threats, experts say attackers will likely focus on data exposure and finding ways to fool algorithms.

Source: darkreading.com

Related Topics:

James BondGary McgrawSophos SaxeJoshua SaxeBerryville Institute Of Machine LearningBerryville InstituteMachine LearningAdversarial Threat LandscapeArtificial Intelligence SystemsDark Reading