Швай, НадіяКузьменко, Дмитро2024-03-212024-03-212023https://ekmair.ukma.edu.ua/handle/123456789/28325The purpose of this research is to investigate adversarial sparsity in computer vision models and introduce a more efficient method for adversarial sparsity estimation. To fulfil this objective, the following tasks have been undertaken: To implement and evaluate an n-Ary search algorithm as an improvement over the conventional binary search method used in adversarial sparsity estimation. To benchmark and compare the performance of the proposed n-Ary search algorithm against the traditional binary search algorithm. To explore the implications of adversarial sparsity on the robustness of machine learning models.ukCIFAR-10RobustBenchсomputer Vision tasksBasic Iterative Method (BIM)Projected Gradient Descent (PGD)Fast Gradient Sign Method (FGSM)master thesisOther