16 citations · 22 across the 2 of their papers we have counts for
3 papers
cs.CV2023★ 6 cited
Adversarial Image Generation by Spatial Transformation in Perceptual Colorspaces
Ayberk Aydin, Alptekin Temizel
Deep neural networks are known to be vulnerable to adversarial perturbations. The amount of these perturbations are generally quantified using metrics, such as , a…
cs.CV2021★ 16 cited
Imperceptible Adversarial Examples by Spatial Chroma-Shift
Ayberk Aydin, Deniz Sen, Berat Tuna Karli +2
Deep Neural Networks have been shown to be vulnerable to various kinds of adversarial perturbations. In addition to widely studied additive noise based perturbations, adversarial e…
cs.LG2020
Using Generative Adversarial Nets on Atari Games for Feature Extraction in Deep Reinforcement Learning
Ayberk Aydın, Elif Surer
Deep Reinforcement Learning (DRL) has been successfully applied in several research domains such as robot navigation and automated video game playing. However, these methods requir…