Mar 7, 2020 · This paper presents a principled novel safety argument framework for critical systems that utilise deep neural networks.
Jul 31, 2020 · This paper presents a principled novel safety argument framework for critical systems that utilise deep neural networks.
Working towards addressing this challenge, this paper presents a principled novel safety argument framework for critical systems that utilise deep neural ...
A principled novel safety argument framework for critical systems that utilise deep neural networks and allows various forms of predictions, e.g., ...
Working towards addressing this challenge, this paper presents a principled novel safety argument framework for critical systems that utilise deep neural ...
Jul 31, 2020 · Increasingly sophisticated mathematical modelling processes from Machine Learning are being used to analyse complex data.
Working towards addressing this challenge, this paper presents a principled novel safety argument framework for critical systems that utilise deep neural ...
Working towards addressing this challenge, this paper presents a principled novel safety argument framework for critical systems that utilise deep neural ...
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Our framework employs techniques from statistical modeling and active learning to effectively generate test cases for DNN safety testing and performance ...
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The complexity of a neural network also makes it prone to attacks and malfunctionings, representing a security threat: what if an attacker exploits the weakness ...
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