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pro vyhledávání: '"Menn, Dennis"'
Neural networks perform exceedingly well across various machine learning tasks but are not immune to adversarial perturbations. This vulnerability has implications for real-world applications. While much research has been conducted, the underlying re
Externí odkaz:
http://arxiv.org/abs/2309.16878
Neural networks have demonstrated state-of-the-art performance in various machine learning fields. However, the introduction of malicious perturbations in input data, known as adversarial examples, has been shown to deceive neural network predictions
Externí odkaz:
http://arxiv.org/abs/2205.15357
Autor:
Afshari, Mohammadmahdi, Krumey, Philipp, Menn, Dennis, Nicoul, Matthieu, Brinks, Fabian, Tarasevitch, Alexander, Sokolowski-Tinten, Klaus
Publikováno v:
Structural Dynamics 7, 014301 (2020)
We present a set-up for time-resolved X-ray diffraction based on a short pulse, laser-driven plasma X-ray source. The employed modular design provides high flexibility to adapt the set-up to the specific requirements (e.g. X-ray optics, sample enviro
Externí odkaz:
http://arxiv.org/abs/2001.02049