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Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks


Jun 16, 2021
Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem


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Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems


Jan 26, 2021
Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve

* Accepted for publication on Computer Vision and Image Understanding, Special issue on Adversarial Deep Learning in Biometrics & Forensics 

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Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability


Jul 07, 2020
Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem

* Accepted for the ICML 2020, Workshop on Uncertainty and Robustness in Deep Learning (UDL) 

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Perturbation Analysis of Gradient-based Adversarial Attacks


Jun 02, 2020
Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem

* Pattern Recognition Letters 2020, Volume 135, Pages 133-120 
* Accepted for publication in Pattern Recognition Letters, 2020 

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Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation


Jul 30, 2019
Utku Ozbulak, Arnout Van Messem, Wesley De Neve

* Accepted for the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-19) 

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Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding


Jul 30, 2019
Utku Ozbulak, Arnout Van Messem, Wesley De Neve

* Accepted for the 2019 International Joint Conference on Neural Networks (IJCNN-19) 

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Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning


Dec 06, 2018
Mijung Kim, Olivier Janssens, Ho-min Park, Jasper Zuallaert, Sofie Van Hoecke, Wesley De Neve

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:cs/0101200 

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How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples


Nov 21, 2018
Utku Ozbulak, Wesley De Neve, Arnout Van Messem


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Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?


Aug 28, 2018
Fréderic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve, Thomas Demeester

* Accepted at EMNLP 2018 

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Interpretable Convolutional Neural Networks for Effective Translation Initiation Site Prediction


Nov 27, 2017
Jasper Zuallaert, Mijung Kim, Yvan Saeys, Wesley De Neve

* Presented at International Workshop on Deep Learning in Bioinformatics, Biomedicine, and Healthcare Informatics (DLB2H 2017) --- in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2017) 

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Dual Rectified Linear Units (DReLUs): A Replacement for Tanh Activation Functions in Quasi-Recurrent Neural Networks


Oct 31, 2017
Fréderic Godin, Jonas Degrave, Joni Dambre, Wesley De Neve


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Improving Language Modeling using Densely Connected Recurrent Neural Networks


Jul 19, 2017
Fréderic Godin, Joni Dambre, Wesley De Neve

* Accepted at Workshop on Representation Learning, ACL2017 

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