MF - Makale Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering by Işık Author "Tuna, Ömer Faruk"

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Closeness and uncertainty aware adversarial examples detection in adversarial machine learning

Tuna, Ömer Faruk; Çatak, Ferhat Özgür; Eskil, Mustafa Taner (Elsevier Ltd, 2022-07)

While deep learning models are thought to be resistant to random perturbations, it has been demonstrated that these architectures are vulnerable to deliberately crafted perturbations, albeit being quasi-imperceptible. These ...
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples

Tuna, Ömer Faruk; Çatak, Ferhat Özgür; Eskil, Mustafa Taner (Springer, 2022-03)

Deep neural network (DNN) architectures are considered to be robust to random perturbations. Nevertheless, it was shown that they could be severely vulnerable to slight but carefully crafted perturbations of the input, ...
Uncertainty as a Swiss army knife: new adversarial attack and defense ideas based on epistemic uncertainty

Tuna, Ömer Faruk; Çatak, Ferhat Özgür; Eskil, Mustafa Taner (Springer, 2022-04-02)

Although state-of-the-art deep neural network models are known to be robust to random perturbations, it was verified that these architectures are indeed quite vulnerable to deliberately crafted perturbations, albeit being ...