Enhancing AI robustness for more secure and reliable systems

Volkan Cevher. Photo credit: EPFL/Titouan Veuillet, CC-BY-SA 4.0. By Michael David Mitchell By rethinking the way that most artificial intelligence (AI) systems protect against attacks, researchers at EPFL’s School of Engineering have developed a training approach to ensure that machine learning models, particularly deep neural networks, consistently perform as intended, significantly enhancing their reliability. Effectively […]

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