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0534345 - ÚI 2021 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Procházka, Štěpán - Neruda, Roman
Black-box Evolutionary Search for Adversarial Examples against Deep Image Classifiers in Non-Targeted Attacks.
2020 International Joint Conference on Neural Networks (IJCNN): Conference Proceedings. Piscataway: IEEE, 2020, č. článku 9207688. ISBN 978-1-7281-6926-2.
[IJCNN 2020: International Joint Conference on Neural Networks /33./. Glasgow (GB), 19.07.2020-24.07.2020]
Grant CEP: GA ČR(CZ) GA18-23827S
Institucionální podpora: RVO:67985807
Klíčová slova: Machine learning * Perturbation methods * Task analysis * Data models * Computer architecture * Sociology * Statistics
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Trvalý link: http://hdl.handle.net/11104/0312558
Procházka, Štěpán - Neruda, Roman
Black-box Evolutionary Search for Adversarial Examples against Deep Image Classifiers in Non-Targeted Attacks.
2020 International Joint Conference on Neural Networks (IJCNN): Conference Proceedings. Piscataway: IEEE, 2020, č. článku 9207688. ISBN 978-1-7281-6926-2.
[IJCNN 2020: International Joint Conference on Neural Networks /33./. Glasgow (GB), 19.07.2020-24.07.2020]
Grant CEP: GA ČR(CZ) GA18-23827S
Institucionální podpora: RVO:67985807
Klíčová slova: Machine learning * Perturbation methods * Task analysis * Data models * Computer architecture * Sociology * Statistics
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Trvalý link: http://hdl.handle.net/11104/0312558