13 citations · 18 across the 4 of their papers we have counts for
4 papers
Importance-Driven Deep Learning System Testing
Simos Gerasimou, Hasan Ferit Eniser, Alper Sen +1
Deep Learning (DL) systems are key enablers for engineering intelligent applications due to their ability to solve complex tasks such as image recognition and machine translation.…
RAID: Randomized Adversarial-Input Detection for Neural Networks
Hasan Ferit Eniser, Maria Christakis, Valentin Wüstholz
In recent years, neural networks have become the default choice for image classification and many other learning tasks, even though they are vulnerable to so-called adversarial att…
DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning
Samet Demir, Hasan Ferit Eniser, Alper Sen
Testing Deep Neural Network (DNN) models has become more important than ever with the increasing usage of DNN models in safety-critical domains such as autonomous cars. The traditi…
DeepFault: Fault Localization for Deep Neural Networks
Hasan Ferit Eniser, Simos Gerasimou, Alper Sen
Deep Neural Networks (DNNs) are increasingly deployed in safety-critical applications including autonomous vehicles and medical diagnostics. To reduce the residual risk for unexpec…