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Profil

CHITIC Ioana Raluca

Main Referenced Co-authors
LEPREVOST, Franck  (8)
TOPAL, Ali Osman  (5)
Bernard, Nicolas (3)
AVDUSINOVIC, Elmir  (1)
Avdusinovic, Elmir (1)
Main Referenced Keywords
adversarial attacks (2); Evolutionary Algorithm (2); evolutionary algorithms (2); Adversarial Attacks (1); Adversarial attacks (1);
Main Referenced Unit & Research Centers
ULHPC - University of Luxembourg: High Performance Computing (4)
Main Referenced Disciplines
Computer science (9)

Publications (total 9)

The most downloaded
235 downloads
CHITIC, I. R., TOPAL, A. O., & LEPREVOST, F. (2021). Evolutionary Algorithm-based images, humanly indistinguishable and adversarial against Convolutional Neural Networks: efficiency and filter robustness. IEEE Access. doi:10.1109/ACCESS.2021.3131255 https://hdl.handle.net/10993/49149

The most cited

11 citations (Scopus®)

TOPAL, A. O., CHITIC, I. R., & LEPREVOST, F. (11 May 2023). One evolutionary algorithm deceives humans and ten convolutional neural networks trained on ImageNet at image recognition. Applied Soft Computing, 143, 110397. doi:10.1016/j.asoc.2023.110397 https://hdl.handle.net/10993/55399

TOPAL, A. O., CHITIC, I. R., & LEPREVOST, F. (11 May 2023). One evolutionary algorithm deceives humans and ten convolutional neural networks trained on ImageNet at image recognition. Applied Soft Computing, 143, 110397. doi:10.1016/j.asoc.2023.110397
Peer Reviewed verified by ORBi

CHITIC, I. R., TOPAL, A. O., & LEPREVOST, F. (22 March 2023). ShuffleDetect: Detecting Adversarial Images against Convolutional Neural Networks. Applied Sciences, 13 (6), 4068. doi:10.3390/app13064068
Peer Reviewed verified by ORBi

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

LEPREVOST, F., TOPAL, A. O., Avdusinovic, E., & CHITIC, I. R. (22 October 2022). A strategy creating high-resolution adversarial images against convolutional neural networks and a feasibility study on 10 CNNs. Journal of Information and Telecommunication, 7 (1), 89-119. doi:10.1080/24751839.2022.2132586
Peer Reviewed verified by ORBi

CHITIC, I. R. (2022). Evolutionary Algorithm-based Adversarial Attacks Against Image Classification Convolutional Neural Networks [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/52582

CHITIC, I. R., TOPAL, A. O., & LEPREVOST, F. (2021). Evolutionary Algorithm-based images, humanly indistinguishable and adversarial against Convolutional Neural Networks: efficiency and filter robustness. IEEE Access. doi:10.1109/ACCESS.2021.3131255
Peer Reviewed verified by ORBi

CHITIC, I. R., Deridder, N., LEPREVOST, F., & Bernard, N. (17 August 2021). Robustness of Adversarial Images against Filters. Optimization and Learning, 1443, 101-114.
Peer reviewed

CHITIC, I. R., LEPREVOST, F., & Bernard, N. (2020). Evolutionary algorithms deceive humans and machines at image classification: An extended proof of concept on two scenarios. Journal of Information and Telecommunication. doi:10.1080/24751839.2020.1829388
Peer Reviewed verified by ORBi

CHITIC, R. I., Bernard, N., & LEPRÉVOST, F. (2020). A proof of concept to deceive humans and machines at image classification with evolutionary algorithms. In I. R. CHITIC, N. Bernard, ... F. LEPRÉVOST, Proceedings of ACIIDS 2020 (pp. 467-480). Springer.
Peer reviewed

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