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Huayu Li,Dmitry Namiot
Pág. 9 - 16
This article provides a detailed survey of the so-called adversarial attacks and defenses. These are special modifications to the input data of machine learning systems that are designed to cause machine learning systems to work incor...
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Dmitry Namiot,Eugene Ilyushin,Ivan Chizhov
Pág. 30 - 34
The paper deals with the issues of formal verification of machine learning systems. With the growth of the introduction of systems based on machine learning in the so-called critical systems (systems with a very high cost of erroneous decisions and actio...
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Eugene Ilyushin,Dmitry Namiot,Ivan Chizhov
Pág. 17 - 22
The paper deals with the problem of adversarial attacks on machine learning systems. Such attacks are understood as special actions on the elements of the machine learning pipeline (training data, the model itself, test data) in order to either achieve t...
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Dmitry Namiot,Eugene Ilyushin,Ivan Chizhov
Pág. 69 - 76
This article is devoted to the applied aspects of the application of machine learning systems. It is obvious that the areas of practical applications of this kind of solution are constantly increasing. The main driver here is that, from a practical point...
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Antimo Cagnotta, Francesco Carnevali and Agostino De Iorio
The fundamental physics research at the frontier accessible by today?s particle accelerators such as the CERN Large Hadron Collider pose unique challenges in terms of complexity and abundance of data to analyse. In this context, it is of paramount import...
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