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pro vyhledávání: '"Danos, Vasilios"'
Autor:
Alagarswamy, Devi Padmavathi, Berghoff, Christian, Danos, Vasilios, Langer, Fabian, Markert, Thora, Schneider, Georg, von Twickel, Arndt, Woitschek, Fabian
Publikováno v:
Proceedings of the 9th International Conference on Information Systems Security and Privacy - ICISSP, pp. 339-348, 2023 , Lisbon, Portugal
Various mobility applications like advanced driver assistance systems increasingly utilize artificial intelligence (AI) based functionalities. Typically, deep neural networks (DNNs) are used as these provide the best performance on the challenging pe
Externí odkaz:
http://arxiv.org/abs/2302.13567
Autor:
Adilova, Linara, Böttinger, Konstantin, Danos, Vasilios, Jacob, Sven, Langer, Fabian, Markert, Thora, Poretschkin, Maximilian, Rosenzweig, Julia, Schulze, Jan-Philipp, Sperl, Philip
We present best practice guidelines for certification and verification of Neural Networks, as well as defense techniques against evasion, poisoning, backdoor, and privacy attacks. Moreover, we provide readers with a broad literature study of the afor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b57c63e2d395bc5d222765231c05a8a3
ML based AI applications are increasingly used in various fields and domains. Despite the enormous and promising capabilities of ML, the inherent lack of robustness, explainability and transparency limits the potential use cases of AI systems. In par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4db4f5323a81ab85b7260488cc09a3af