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AVDUSINOVIC Elmir

University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

ORCID
0000-0002-8292-8747
Main Referenced Co-authors
LEPREVOST, Franck  (3)
MANCELLARI, Enea  (2)
TOPAL, Ali Osman  (2)
CHITIC, Ioana Raluca  (1)
GILLET, Thomas  (1)
Main Referenced Keywords
Adversarial attack (1); Audio domain (1); Automatic Speech Recognition (1); Black-box attack (1); black-box attack (1);
Main Referenced Unit & Research Centers
ULHPC - University of Luxembourg: High Performance Computing (1)
Main Referenced Disciplines
Computer science (3)

Publications (total 3)

The most downloaded
93 downloads
TOPAL, A. O.* , MANCELLARI, E.* , LEPREVOST, F.* , AVDUSINOVIC, E.* , & GILLET, T.*. (April 2024). The Noise Blowing-Up Strategy Creates High Quality High Resolution Adversarial Images against Convolutional Neural Networks. Applied sciences (Basel, Switzerland), 14 (8), 3493. doi:10.3390/app14083493 https://hdl.handle.net/10993/66892

The most cited

4 citations (OpenAlex)

LEPREVOST, F., TOPAL, A. O., AVDUSINOVIC, E., & CHITIC, I. R. (2022). Strategy and Feasibility Study for the Construction of High Resolution Images Adversarial Against Convolutional Neural Networks. In ACIIDS 2022: Intelligent Information and Database Systems (pp. 285-298). Springer. doi:10.1007/978-3-031-21743-2_23 https://hdl.handle.net/10993/53022

AVDUSINOVIC, E., Topal, A. O., MANCELLARI, E., MÜLLER, V., Mogal, F. M. M., & LEPREVOST, F. (2026). Speech-EA: Evolutionary Algorithm-Based Attack on Automatic Speech Recognition Systems. In Lecture Notes in Computer Science (pp. 381–397). Springer Nature Singapore. doi:10.1007/978-981-92-0074-0_27
Peer reviewed

TOPAL, A. O.* , MANCELLARI, E.* , LEPREVOST, F.* , AVDUSINOVIC, E.* , & GILLET, T.*. (April 2024). The Noise Blowing-Up Strategy Creates High Quality High Resolution Adversarial Images against Convolutional Neural Networks. Applied sciences (Basel, Switzerland), 14 (8), 3493. doi:10.3390/app14083493
Peer reviewed
* These authors have contributed equally to this work.

LEPREVOST, F., TOPAL, A. O., AVDUSINOVIC, E., & CHITIC, I. R. (2022). Strategy and Feasibility Study for the Construction of High Resolution Images Adversarial Against Convolutional Neural Networks. In ACIIDS 2022: Intelligent Information and Database Systems (pp. 285-298). Springer. doi:10.1007/978-3-031-21743-2_23
Peer reviewed

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