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IBM’s new AI toolbox puts your deep learning network to the test



Martes 17 de abril de 2018, por Tristan Greene


IBM today announced the launch of its Adversarial Robustness Toolbox for AI developers. The open-source kit contains everything a machine learning programmer needs to attack their own deep learning neural networks (DNN) to ensure they’re able to withstand real-world conditions. The toolbox comes in the form of a code library which includes attack agents, defense utilities, and benchmarking tools that allow developers to integrate baked-in resilience to adversarial attacks. The company says it’s the first of its kind. According to IBM Security Systems CTO Sridhar Muppidi: One of the biggest challenges with some of the existing models to defend against…

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