A Proof of Concept to Deceive Humans and Machines at Image Classification with Evolutionary Algorithms. - Raluca Chitic; Nicolas Bernard; Franck Leprévost (ACIIDS (2), 2020)

Robustness of Adversarial Images Against Filters. - Raluca Chitic; Nathan Deridder; Franck Leprévost; Nicolas Bernard (OLA, 2021)

Evolutionary Algorithm-Based Images, Humanly Indistinguishable and Adversarial Against Convolutional Neural Networks: Efficiency and Filter Robustness. - Raluca Chitic; Ali Osman Topal; Franck Leprévost (IEEE Access, 2021)

Evolutionary algorithms deceive humans and machines at image classification: an extended proof of concept on two scenarios. - Raluca Chitic; Franck Leprévost; Nicolas Bernard (J. Inf. Telecommun., 2021)

Strategy and Feasibility Study for the Construction of High Resolution Images Adversarial Against Convolutional Neural Networks. - Franck Leprévost; Ali Osman Topal; Elmir Avdusinovic; Raluca Chitic (ACIIDS (1), 2022)

A strategy creating high-resolution adversarial images against convolutional neural networks and a feasibility study on 10 CNNs. - Franck Leprévost; Ali Osman Topal; Elmir Avdusinovic; Raluca Chitic (J. Inf. Telecommun., 2023)

One evolutionary algorithm deceives humans and ten convolutional neural networks trained on ImageNet at image recognition. - Ali Osman Topal; Raluca Chitic; Franck Leprévost (Appl. Soft Comput., 2023)