Işık Yazarı "Eskil, Mustafa Taner" MF - Makale Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering İçin Listeleme
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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, ... -
Facial expression recognition based on anatomy
Eskil, Mustafa Taner; Benli, Kristin Surpuhi (Academic Press Inc Elsevier Science, 2014-02)In this study, we propose a novel approach to facial expression recognition that capitalizes on the anatomical structure of the human face. We model human face with a high-polygon wireframe model that embeds all major ... -
Factored particle filtering with dependent and constrained partition dynamics for tracking deformable objects
Eskil, Mustafa Taner (Springer, 2014-10)In particle filtering, dimensionality of the state space can be reduced by tracking control (or feature) points as independent objects, which are traditionally named as partitions. Two critical decisions have to be made ... -
Improved microphone array design with statistical speaker verification
Demir, Kadir Erdem; Eskil, Mustafa Taner (Elsevier Ltd, 2021-04)Conventional microphone array implementations aim to lock onto a source with given location and if required, tracking it. It is a challenge to identify the intended source when the location of the source is unknown and ... -
Integrating vendors into cooperative design practices
Eskil, Mustafa Taner; Sticklen, Jon (Taylor & Francis Ltd, 2009)This paper describes a new approach to cooperative design using distributed, off-the-shelf design components. The ultimate goal is to enable assemblers to rapidly design their products and perform simulations using parts ... -
Nearest neighbor weighted average customization for modeling faces
Abeysundera, Hasith Pasindu; Benli, Kristin Surpuhi; Eskil, Mustafa Taner (Springer, 2013-10)In this paper, we present an anatomically accurate generic wireframe face model and an efficient customization method for modeling human faces. We use a single 2D image for customization of the generic model. We employ ... -
An observation based muscle model for simulation of facial expressions
Erkoç, Tuğba; Ağdoğan, Didem; Eskil, Mustafa Taner (Elsevier Science BV, 2018-05)This study presents a novel facial muscle model for coding of facial expressions. We derive this model from unintrusive observation of human subjects in the progress of the surprise expression. We use a generic and ... -
The routine design-modular distributed modeling platform for distributed routine design and simulation-based testing of distributed assemblies
Eskil, Mustafa Taner; Sticklen, Jon; Radcliffe, Clark (Cambridge University Press, 2008-12-12)In this paper we describe a conceptual framework and implementation of a tool that supports task-directed, distributed routine design (RD) augmented with simulation-based design testing. In our research, we leverage the ... -
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 ... -
Unsupervised textile defect detection using convolutional neural networks
Koulali, Imane; Eskil, Mustafa Taner (Elsevier Ltd, 2021-12)In this study, we propose a novel motif-based approach for unsupervised textile anomaly detection that combines the benefits of traditional convolutional neural networks with those of an unsupervised learning paradigm. It ...