Blar i Department of Electrical and Computer Engineering (TN-IDE) på forfatter "Catak, Ferhat Özgur"
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Towards robust autonomous driving systems through adversarial test set generation
Unal, Devrim; Catak, Ferhat Özgur; Houkan, Mohammad Talal; Mudassir, Mohammed; Hammoudeh, Mohammad (Peer reviewed; Journal article, 2022)Correct environmental perception of objects on the road is vital for the safety of autonomous driving. Making appropriate decisions by the autonomous driving algorithm could be hindered by data perturbations and more ... -
Uncertainty as a Swiss army knife: new adversarial attack and defense ideas based on epistemic uncertainty
Tuna, Omer Faruk; Catak, Ferhat Özgur; Eskil, Taner (Peer reviewed; Journal article, 2022)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 ... -
Uncertainty-Aware Prediction Validator in Deep Learning Models for Cyber-Physical System Data
Catak, Ferhat Özgur; Yue, Tao; Ali, Shaukat (Peer reviewed; Journal article, 2022)The use of Deep learning in Cyber-Physical Systems (CPSs) is gaining popularity due to its ability to bring intelligence to CPS behaviors. However, both CPSs and deep learning have inherent uncertainty. Such uncertainty, ... -
An XAI approach for COVID-19 detection using transfer learning with X-ray images
Sarp, Salih; Catak, Ferhat Özgur; Kuzlu, Murat; Cali, Umit; Kusetogullari, Huseyin; Zhao, Yanxiao; Guler, Ozgur (Peer reviewed; Journal article, 2023-04)The coronavirus disease (COVID-19) has continued to cause severe challenges during this unprecedented time, affecting every part of daily life in terms of health, economics, and social development. There is an increasing ...